Some advances in mathematical models for preference relations

Preference relations, and their modeling, have played a crucial role in both social sciences and applied mathematics. A special category of preference relations is represented by cardinal preference relations, which are nothing other than relations which can also take into account the degree of relation. Preference relations play a pivotal role in most of multi criteria decision making methods and in the operational research. This thesis aims at showing some recent advances in their methodology. Actually, there are a number of open issues in this field and the contributions presented in this thesis can be grouped accordingly. The first issue regards the estimation of a weight vector given a preference relation. A new and efficient algorithm for estimating the priority vector of a reciprocal relation, i.e. a special type of preference relation, is going to be presented. The same section contains the proof that twenty methods already proposed in literature lead to unsatisfactory results as they employ a conflicting constraint in their optimization model. The second area of interest concerns consistency evaluation and it is possibly the kernel of the thesis. This thesis contains the proofs that some indices are equivalent and that therefore, some seemingly different formulae, end up leading to the very same result. Moreover, some numerical simulations are presented. The section ends with some consideration of a new method for fairly evaluating consistency. The third matter regards incomplete relations and how to estimate missing comparisons. This section reports a numerical study of the methods already proposed in literature and analyzes their behavior in different situations. The fourth, and last, topic, proposes a way to deal with group decision making by means of connecting preference relations with social network analysis.

Rintamamiestalon saneerauksen energiataloudellinen tarkastelu

Työssä määritettiin Kaakkois-Suomessa sijaitsevan rintamamiestalon eri energiasaneerausvaihtoehtojen kannattavuus. Taselaskenta pohjautui pääosin Suomen rakentamismääräyskokoelman osaan D5. Tarkastelu laajennettiin koskemaan myös yleisesti rintamamiestaloja. Tällöin referenssitalona toimi kyseinen kohdetalo konstruktiossa, jossa talon vaipan eristeet olivat alkuperäiset ja lämmitysjärjestelmä uusimisen tarpeessa. Työssä kehitettiin toimiva laskenta-algoritmi, jolla pystytään määrittämään tyypillisten rintamamiestalojen energiasaneerausten kannattavuus eri lämmitysjärjestelmillä ja eri ilmastovyöhykkeillä. Samalla saadaan määritellyksi yksittäisten rakenneosien saneerauksen vaikutukset talon energiantarpeeseen. Käytännössä kaikkiin 1950-luvulla rakennettuihin rintamamiestaloihin on vuosien kuluessa tehty asumisviihtyvyyttä lisääviä parannuksia, mutta energiaa säästävät investoinnit ovat jääneet vähemmälle. Energiantarve on niissä tyypillisesti 400 kWh asuinneliötä kohti vuodessa, kun vastaava talo nyt rakennettuna kuluttaisi 55% - 60% vähemmän energiaa.

KUMPPANUUKSIEN LAATUTEKIJÄT JA KUMPPANUUSKYVYKKYYS VERKOSTOSUHTEIDEN KRIITTISINÄ MENESTYSTEKIJÖINÄ

Pro gradu -tutkielman tavoitteena on selvittää, mitkä ovat kahden yrityksen läheisen verkostoyhteistyösuhteen menestystekijät ja kuinka yritys pystyy parantamaan onnistumistaan verkostosuhteissaan. Päämääränä on selvittää kirjallisuudesta löydettyjen menestystekijöiden avulla, mikä on case –yritysten yhteistyösuhteiden ja kumppanuuskyvykkyyden nykytila, pullonkaulatekijät ja kuinka niitä voidaan parantaa. Tutkielman tavoitteisiin on pyritty kvalitatiivisiin tutkimusmenetelmiin kuuluvalla case –tutkimuksella. Aineisto kerättiin teemahaastatteluin ja analysoitiin purkamalla ne sanallisiin, teema-alueiden mukaisiin kokonaisuuksiin. Analyysissä käytettiin osittain Atlas.Ti –ohjelmistoa. Tutkimuksen tulokset osoittavat, että läheisen verkostoyhteistyösuhteen menestystekijät ovat luottamus, sitoutuminen ja kommunikaatio sekä verkostoidentiteetti. Näistä luottamuksen tila oli tutkituissa suhteissa hyvä ja sitoutumisenkin kohtuullinen. Sen sijaan verkostoidentiteetti oli jossain määrin epäselvä ja kommunikaatiossa oli puutteita kasvaen sitä mukaan, kun organisaatiohierarkiassa edetään korkeammalle. Nämä mahdollisesti heikentävät läheisestä suhteesta saatavia hyötyjä. Tulokset osoittavat myös sen, että nostaakseen onnistumisen tason kaikissa yhteistyösuhteissaan, niiden tulee pyrkiä järjestelmällisesti hyödyntämään aikaisempaa yhteistyökokemustaan ja näin rakentamaan kumppanuuskyvykkyyttään. Kohdeyrityksissä oli tehty vielä vähän konkreettisia toimenpiteitä yritystason kumppanuuskyvykkyyden kohentamiseksi.

Etuosakkeen käyttö rahoitusinstrumenttina Suomessa

Tutkielman tavoitteena on selvittää miten etuosaketta on käytetty rahoitusinstrumenttina Suomessa ja millaisia yhtiöjärjestysmääräyksiä kyseiset osakeyhtiöt ovat ottaneet yhtiöjärjestyksiinsä. Tätä varten analysoidaan yhdentoista osakeyhtiön yhtiöjärjestykset. Tutkielman loppupuolella käsitellään myös tulevan osakeyhtiölakiuudistuksen vaikutusta etuosakkeeseen asemaan uuden lain astuessa voimaan. Tutkielman perusteella voidaan todeta, että etuosakkeen käytölle ei ole muodostunut mitään yhtenäistä tapaa Suomessa, vaan määräykset ovat hyvinkin yksilöllisesti laadittuja lähes poikkeuksetta.

New kernel functions and learning methods for text and data mining

Recent advances in machine learning methods enable increasingly the automatic construction of various types of computer assisted methods that have been difficult or laborious to program by human experts. The tasks for which this kind of tools are needed arise in many areas, here especially in the fields of bioinformatics and natural language processing. The machine learning methods may not work satisfactorily if they are not appropriately tailored to the task in question. However, their learning performance can often be improved by taking advantage of deeper insight of the application domain or the learning problem at hand. This thesis considers developing kernel-based learning algorithms incorporating this kind of prior knowledge of the task in question in an advantageous way. Moreover, computationally efficient algorithms for training the learning machines for specific tasks are presented. In the context of kernel-based learning methods, the incorporation of prior knowledge is often done by designing appropriate kernel functions. Another well-known way is to develop cost functions that fit to the task under consideration. For disambiguation tasks in natural language, we develop kernel functions that take account of the positional information and the mutual similarities of words. It is shown that the use of this information significantly improves the disambiguation performance of the learning machine. Further, we design a new cost function that is better suitable for the task of information retrieval and for more general ranking problems than the cost functions designed for regression and classification. We also consider other applications of the kernel-based learning algorithms such as text categorization, and pattern recognition in differential display. We develop computationally efficient algorithms for training the considered learning machines with the proposed kernel functions. We also design a fast cross-validation algorithm for regularized least-squares type of learning algorithm. Further, an efficient version of the regularized least-squares algorithm that can be used together with the new cost function for preference learning and ranking tasks is proposed. In summary, we demonstrate that the incorporation of prior knowledge is possible and beneficial, and novel advanced kernels and cost functions can be used in algorithms efficiently.

Security and Privacy in a Ubiquitous Information Screen

We expose the ubiquitous interaction between an information screen and its’ viewers mobile devices, highlights the communication vulnerabilities, suggest mitigation strategies and finally implement these strategies to secure the communication. The screen infers information preferences’ of viewers within its vicinity transparently from their mobile devices over Bluetooth. Backend processing then retrieves up-to-date versions of preferred information from content providers. Retrieved content such as sporting news, weather forecasts, advertisements, stock markets and aviation schedules, are systematically displayed on the screen. To maximise users’ benefit, experience and acceptance, the service is provided with no user interaction at the screen and securely upholding preferences privacy and viewers anonymity. Compelled by the personal nature of mobile devices, their contents privacy, preferences confidentiality, and vulnerabilities imposed by screen, the service’s security is fortified. Fortification is predominantly through efficient cryptographic algorithms inspired by elliptic curves cryptosystems, access control and anonymity mechanisms. These mechanisms are demonstrated to attain set objectives within reasonable performance.

Learning Preferences with Kernel-Based Methods

Learning of preference relations has recently received significant attention in machine learning community. It is closely related to the classification and regression analysis and can be reduced to these tasks. However, preference learning involves prediction of ordering of the data points rather than prediction of a single numerical value as in case of regression or a class label as in case of classification. Therefore, studying preference relations within a separate framework facilitates not only better theoretical understanding of the problem, but also motivates development of the efficient algorithms for the task. Preference learning has many applications in domains such as information retrieval, bioinformatics, natural language processing, etc. For example, algorithms that learn to rank are frequently used in search engines for ordering documents retrieved by the query. Preference learning methods have been also applied to collaborative filtering problems for predicting individual customer choices from the vast amount of user generated feedback. In this thesis we propose several algorithms for learning preference relations. These algorithms stem from well founded and robust class of regularized least-squares methods and have many attractive computational properties. In order to improve the performance of our methods, we introduce several non-linear kernel functions. Thus, contribution of this thesis is twofold: kernel functions for structured data that are used to take advantage of various non-vectorial data representations and the preference learning algorithms that are suitable for different tasks, namely efficient learning of preference relations, learning with large amount of training data, and semi-supervised preference learning. Proposed kernel-based algorithms and kernels are applied to the parse ranking task in natural language processing, document ranking in information retrieval, and remote homology detection in bioinformatics domain. Training of kernel-based ranking algorithms can be infeasible when the size of the training set is large. This problem is addressed by proposing a preference learning algorithm whose computation complexity scales linearly with the number of training data points. We also introduce sparse approximation of the algorithm that can be efficiently trained with large amount of data. For situations when small amount of labeled data but a large amount of unlabeled data is available, we propose a co-regularized preference learning algorithm. To conclude, the methods presented in this thesis address not only the problem of the efficient training of the algorithms but also fast regularization parameter selection, multiple output prediction, and cross-validation. Furthermore, proposed algorithms lead to notably better performance in many preference learning tasks considered.

Color ad spectral image assessment using novel quality and fidelity techniques

The ongoing development of the digital media has brought a new set of challenges with it. As images containing more than three wavelength bands, often called spectral images, are becoming a more integral part of everyday life, problems in the quality of the RGB reproduction from the spectral images have turned into an important area of research. The notion of image quality is often thought to comprise two distinctive areas – image quality itself and image fidelity, both dealing with similar questions, image quality being the degree of excellence of the image, and image fidelity the measure of the match of the image under study to the original. In this thesis, both image fidelity and image quality are considered, with an emphasis on the influence of color and spectral image features on both. There are very few works dedicated to the quality and fidelity of spectral images. Several novel image fidelity measures were developed in this study, which include kernel similarity measures and 3D-SSIM (structural similarity index). The kernel measures incorporate the polynomial, Gaussian radial basis function (RBF) and sigmoid kernels. The 3D-SSIM is an extension of a traditional gray-scale SSIM measure developed to incorporate spectral data. The novel image quality model presented in this study is based on the assumption that the statistical parameters of the spectra of an image influence the overall appearance. The spectral image quality model comprises three parameters of quality: colorfulness, vividness and naturalness. The quality prediction is done by modeling the preference function expressed in JNDs (just noticeable difference). Both image fidelity measures and the image quality model have proven to be effective in the respective experiments.

Pientalon lämmitysjärjestelmän valinta

Lämmityskustannukset ovat merkittävä osa pientalon asumiskustannuksista. Oikealla lämmitysratkaisuvalinnalla voidaan saada merkittäviä säästöjä aikaiseksi. Lämmitysjärjestelmä on pitkäaikainen investointi ja järjestelmän vaihtaminen toiseen on usein kallista. Järjestelmän valinnassa tehtyä virhettä on siten vaikea korjata jälkikäteen. Jotta osataan valita kuhunkin tilanteeseen sopivin lämmitysratkaisu, täytyy tietää millaisia kustannuseriä eri vaihtoehdot sisältävät ja millainen merkitys niillä on kokonaiskustannuksiin. Lämmitysjärjestelmän valinnassa tulee huomioida asuntojen erilaiset energiantarpeet, tekniset ratkaisut ja käyttäjien mieltymykset. Edellä mainituista syistä lämmitysjärjestelmiä ei voida laittaa yleispätevään edullisuusjärjestykseen. Tässä työssä käsitellään esimerkkilaskelmien avulla joitain lämmitysjärjestelmäratkaisuja ja niiden kustannuksia. Vaikka työ ei käsitä kaikkia markkinoilla olevia vaihtoehtoja, työssä esitettyjä laskentamenetelmiä voidaan soveltaa myös muihin lämmitysjärjestelmiin.

Distribution and role of macrophytes in coastal lagoons : implications of critical shifts

Crossroads, crucibles and refuges are three words that may describe natural coastal lagoon environments. The words refer to the complex mix of marine and terrestrial influences, prolonged dilution due to the semi-enclosed nature and the function of a habitat for highly diverse plant and animal communities, some of which are endangered. To attain a realistic picture of the present situation, high vulnerability to anthropogenic impact should be added to the description. As the sea floor in coastal lagoons is usually entirely photic, macrophyte primary production is accentuated compared with open sea environments. There is, however, a lack of proper knowledge on the importance of vegetation for the general functioning of coastal lagoon ecosystems. The aim of this thesis is to assess the role of macrophyte diversity, cover and species identity over temporal and spatial scales for lagoon functions, and to determine which steering factors primarily restrict the qualitative and quantitative composition of vegetation in coastal lagoons. The results are linked to patterns of related trophic levels and the indicative potential of vegetation for assessment of general conditions in coastal lagoons is evaluated. This thesis includes five field studies conducted in flads and glo-flads in the brackish water northern Baltic Sea. Flads and glo-flads are defined as a Baltic variety of coastal lagoons, which due to an inlet threshold and post-glacial landuplift slowly will be isolated from the open sea. This process shrinks inlet size, increases exposure and water retention, and is called habitat isolation. The studied coastal lagoons are situated in the archipelago areas of the eastern coast of Sweden, the Åland Islands and the south-west mainland of Finland, where land-uplift amounts to ca. 5 mm/ per year. Out of 400 evaluated sites, a total of 70 lagoons varying in inlet size, archipelago position and anthropogenic influence to cover for essential environmental variation were chosen for further inventory. Vegetation composition, cover and richness were measured together with several hydrographic and morphometric variables in the lagoons both seasonally and inter-annually to cover for general regional, local and temporal patterns influencing lagoon and vegetation development. On smaller species-level scale, the effects of macrophyte species identity and richness for the fish habitat function were studied by examining the influence of plant interaction on juvenile fish diversity. Thus, the active election of plant monoand polycultures by fish and the diversity of fish in the respective culture were examined and related to plant height and water depth. The lagoons and vegetation composition were found to experience a regime shift initiated by increased habitat isolation along with land-uplift. Vegetation composition altered, richness decreased and cover increased forming a less isolated and more isolated regime, named the vascular plant regime and charophyte regime, respectively according to the dominant vegetation. As total phosphorus in the water, turbidity and the impact of regional influences decreased in parallel, the dominance of charophytes and increasing cover seemed to buffer and stabilize conditions in the charophyte regime and indicated an increased functional role of vegetation for the lagoon ecosystem. The regime pattern was unaffected by geographical differences, while strong anthropogenic impact seemed to distort the pattern due to loss of especially Chara tomentosa L. in the charophyte regime. The regimes were further found unperturbed by short-time temporal fluctuations. In fact the seasonal and inter-annual dynamics reinforced the functional difference between the regimes by the increasing role of vegetation along habitat isolation and the resemblance to lake environments for the charophyte regime. For instance, greater total phosphorus and chlorophyll a concentrations in the water in the beginning of the season in the charophyte regime compared with the vascular plant regime presented a steeper reduction to even lower values than in the vascular plant regime along the season. Despite a regional importance and positive relationship of macrophyte diversity in relation to trophic diversity, species identity was underlined in the results of this thesis, especially with decreasing spatial scale. This result was supported partly by the increased role of charophytes in the functioning of the charophyte regime, but even more explicitly by the species-specific preference of juvenile fish for tall macrophyte monocultures. On a smaller species-level scale, tall plant species in monoculture seemed to be able to increase their length, indicating that negative selection forms preferred habitat structures, which increase fish diversity. This negative relationship between plant and fish diversity suggest a shift in diversity patterns among trohic levels on smaller scale. Thus, as diversity patterns seem complex and diverge among spatial scales, it might be ambiguous to extend the understanding of diversity relationships from one trophic level to the other. All together, the regime shift described here presents similarities to the regime development in marine lagoon environments and shallow lakes subjected to nutrient enrichment. However, due to nutrient buffering by vegetation with increased isolation and water retention as a consequence of the inlet threshold, the development seems opposite to the course along an eutrophication gradient described in marine lagoons lacking an inlet threshold, where the role of vegetation decreases. Thus, the results imply devastating consequences of inlet dredging (decreasing isolation) in terms of vegetation loss and nutrient release, and call for increased conservational supervision. Especially the red listed charophytes would suffer negatively from such interference and the consequences are likely to also deteriorate juvenile fish production. The fact that a new species to Finland, Chara connivens Salzm. Ex. Braun 1835 was discovered during this study further indicates a potential of the lagoons serving as refuges for rare species.

Molecular modeling of asymmetric induction in heterogeneously catalyzed hydrogenation of the C=O bond

Modifiering av metallytor med starkt adsorberade kirala organiska molekyler är eventuellt den mest relevanta teknik man vet i dag för att skapa kirala ytor. Den kan utnyttjas i katalytisk produktion av enantiomeriskt rena kirala föreningar som behövs t.ex. som läkemedel och aromkemikalier. Trots många fördelar av asymmetrisk heterogen katalys jämfört med andra sätt för att få kirala föreningar, har den ändå inte blivit ett allmänt verktyg för storskaliga tillämpningar. Detta beror t.ex. på brist på djupare kunskaper i katalytiska reaktionsmekanismer och ursprunget för asymmetrisk induktion. I denna studie användes molekylmodelleringstekniker för att studera asymmetriska, heterogena katalytiska system, speciellt hydrering av prokirala karbonylföreningar till motsvarande kirala alkoholer på cinchona-alkaloidmodifierade Pt-katalysatorer. 1-Fenyl-1,2-propandion (PPD) och några andra föreningar, som innehåller en prokiral C=O-grupp, användes som reaktanter. Konformationer av reaktanter och cinchona-alkaloider (som kallas modifierare) samt vätebundna 1:1-komplex mellan dem studerades i gas- och lösningsfas med metoder som baserar sig på vågfunktionsteori och täthetsfunktionalteori (DFT). För beräkningen av protonaffiniteter användes också högst noggranna kombinationsmetoder såsom G2(MP2). Den relativa populationen av modifierarnas konformationer varierade som funktion av modifieraren, dess protonering och lösningsmedlet. Flera reaktant–modifierareinteraktionsgeometrier beaktades. Slutsatserna på riktning av stereoselektivitet baserade sig på den relativa termodynamiska stabiliteten av de diastereomeriska reaktant–modifierare-komplexen samt energierna hos π- och π*-orbitalerna i den reaktiva karbonylgruppen. Adsorption och reaktioner på Pt(111)-ytan betraktades med DFT. Regioselektivitet i hydreringen av PPD och 2,3-hexandion kunde förklaras med molekyl–yta-interaktioner. Storleken och formen av klustret använt för att beskriva Pt-ytan inverkade inte bara på adsorptionsenergierna utan också på de relativa stabiliteterna av olika adsorptionsstrukturer av en molekyl. Populationerna av modifierarnas konformationer i gas- och lösningsfas korrelerade inte med populationerna på Pt-ytan eller med enantioselektiviteten i hydreringen av PPD på Pt–cinchona-katalysatorer. Vissa modifierares konformationer och reaktant–modifierare-interaktionsgeometrier var stabila bara på metallytan. Teoretiskt beräknade potentialenergiprofiler för hydrering av kirala α-hydroxiketoner på Pt implicerade preferens för parvis additionsmekanism för väte och selektiviteter i harmoni med experimenten. De uppnådda resultaten ökar uppfattningen om kirala heterogena katalytiska system och kunde därför utnyttjas i utvecklingen av nya, mera aktiva och selektiva kirala katalysatorer.

Alpha2-adrenoceptors: Structure and ligand binding properties at the molecular level

Alpha₂-Adrenoceptors: structure and ligand binding properties at the molecular level The mouse is the most frequently used animal model in biomedical research, but the use of zebrafish as a model organism to mimic human diseases is on the increase. Therefore it is considered important to understand their pharmacological differences from humans also at the molecular level. The zebrafish Alpha_2-adrenoceptors were expressed in mammalian cells and the binding affinities of 20 diverse ligands were determined and compared to the corresponding human receptors. The pharmacological properties of the human and zebrafish Alpha_2--adrenoceptors were found to be quite well conserved. Receptor models based on the crystal structures of bovine rhodopsin and the human Beta₂-adrenoceptor revealed that most structural differences between the paralogous and orthologous Alpha_2--adrenoceptors were located within the second extracellular loop (XL2). Reciprocal mutations were generated in the mouse and human Alpha_2--adrenoceptors. Ligand binding experiments revealed that substitutions in XL2 reversed the binding profiles of the human and mouse Alpha_2--adrenoceptors for yohimbine, rauwolscine and RS-79948-197, evidence for a role for XL2 in the determination of species-specific ligand binding. Previous mutagenesis studies had not been able to explain the subtype preference of several large Alpha_2--adrenoceptor antagonists. We prepared chimaeric Alpha_2--adrenoceptors where the first transmembrane (TM1) domain was exchanged between the three human Alpha_2--adrenoceptor subtypes. The binding affinities of spiperone, spiroxatrine and chlorpromazine were observed to be significantly improved by TM1 substitutions of the Alpha_2a--adrenoceptor. Docking simulations indicated that indirect effects, such as allosteric modulation, are more likely to be involved in this phenomenon rather than specific side-chain interactions between ligands and receptors.

Päämääriä, ajelehtimista, tietämättömyyttä, etsintää: Koulutusvalinnat, opinnot ja koulutuksen vaihtaminen yliopisto-opiskelijoiden kokemana 2000 -luvun taitteessa

Tutkimuksessa tarkastellaan yliopisto-opiskelua, opintojen kokemista ja niiden kulkua alkaen koulutusvalinnoista. Lisäksi tutkimuksessa pyritään ymmärtämään ja kuvaamaan yliopisto-opintojen aikaista koulutuksen vaihtamista prosessina. Kyseessä on seurantatutkimus Turun yliopistossa vuonna 1998 aloittaneesta opiskelijakohortista. Tutkittavat opiskelijat valittiin sillä perusteella, että he vastasivat kolmeen opintoja koskevaan kyselyyn ja olivat vähintään kolmen vuoden ajan läsnä olevina opiskelijoina. Opiskelijat (n=440) jaettiin neljään vertailuryhmään: 1) opintoihinsa tyytyväiset, 2) ensimmäisen vuoden jälkeen koulutusta vaihtaneet, 3) toisen vuoden jälkeen koulutusta vaihtaneet ja 4) koulutusta vaihtaa halunneet. Tutkimusaineisto koostuu kolmesta kyselystä, opintorekisteriaineistosta ja koulutusta opintojen aikana vaihtaneiden opiskelijoiden haastatteluista (n=22). Kyselyt tehtiin ensimmäisen, toisen ja kolmannen opintovuoden kevätlukukausilla ja haastattelut vuonna 2002, jolloin opiskelijat opiskelivat Turun yliopistossa neljättä tai viidettä vuotta. Kyselyiden avulla tutkittiin eroavatko koulutusta vaihtaneet opiskelijat muista opiskelijoista rakenteellisilta tekijöiltään tai opintokokemuksissaan. Opintorekisteriaineiston perusteella tutkittiin eroavatko koulutusta vaihtaneet opiskelijat koulutuksessa pysyneistä opiskelijoista opintojen kulussa. Kyselyiden ja haastatteluiden avulla tutkittiin minkälaisia tietoja ja odotuksia opiskelijoilla oli yliopisto-opiskelusta ollut ennen opintojen aloittamista. Haastatteluiden perusteella tutkittiin mitä syitä koulutuksen vaihtamisen taustalla oli ja minkälaisina kertomuksina koulutuksen vaihtamisprosessi näyttäytyi. Koulutusta vaihtaneet opiskelijat erosivat koulutuksessa pysyneistä opiskelijoista aiemman koulutuksen määrän, iän ja perheellisyyden suhteen. Verrattaessa ensimmäisen ja toisen vuoden jälkeen koulutusta vaihtaneita opiskelijoita keskenään havaittiin näillä ryhmillä olevan erilainen perhetausta. Koulutusta valittaessa tärkein tekijä oli kiinnostus alaa kohtaan. Toiseksi voimakkain hakutekijä oli muilla paitsi ensimmäisen vuoden jälkeen koulutusta vaihtaneilla valmiudet haluttuun ammattiin. Vuorostaan ensimmäisen vuoden jälkeen koulutusta vaihtaneilla toiseksi tärkein tekijä hakeutumisessa oli helppo sisäänpääsy opintoihin. Suurin osa opiskelijoista oli päässyt ensisijaisesti haluamaansa koulutukseen. Koulutusta myöhemmin vaihtaneissa ryhmissä ja koulutuksen vaihtoa halunneiden ryhmässä ensisijaisesti haluttuun koulutukseen päässeitä oli alle puolet. Odotukset opiskelusta eivät täysin täyttyneet ensimmäisen puolen vuoden opiskelun aikana. Tutkittujen ryhmien välillä havaittiin eroja kokemuksissa koulutuksen sopivuudesta itselle. Koulutuksen vaihtaminen oli myönteinen kokemus, ja uusi koulutus koettiin aiempaa koulutusta sopivammaksi itselle. Kolmannen vuoden kevätlukukaudella omaa koulutusta kohtaan koettu kiinnostus oli voimakasta muissa ryhmissä paitsi koulutuksen vaihtoa halunneissa. Harvimmin positiivisia tunteita opiskelua kohtaan kokivat vaihtoa halunneet opiskelijat. Koulutuksen vaihtaminen vähensi opintoihin kiinnittymättömyyttä. Koulutuksen vaihtoa halunneiden kokemukset nykyisen koulutuksensa ilmapiiristä olivat negatiivisimpia. Koulutuksen vaihtaminen vaikutti myönteisesti myös opetuksen kokemiseen. Opinnot etenivät kaikissa tutkituissa ryhmissä tasaisesti. Koulutuksen vaihtamisen jälkeisenä vuonna opinnot etenivät vaihtaneissa ryhmissä keskimääräistä enemmän. Haastatteluiden mukaan pääasiallisia syitä koulutuksen vaihtamiselle olivat päätyminen toissijaiseen koulutukseen ja pettyminen aloittamaansa koulutukseen. Narratiivien analyysin avulla tutkimuksessa löydettiin neljä erilaista tarinaa vaihtamisprosessista: 1) toissijaisesta koulutuksesta ensisijaiseen koulutukseen vaihtaminen, 2) ensisijaiseen koulutukseen pettyminen, 3) kiinnostavampaan koulutukseen ajautuminen ja 4) oman alan löytyminen etsinnän kautta. Vaikka koulutuspolitiikassa koulutuksen vaihtaminen nähdään ongelmana, oli se tämän tutkimuksen mukaan opiskelijalle myönteinen kokemus. Tämän tutkimuksen perusteella tulisikin kiinnittää huomiota opiskelijoihin, jotka haluaisivat vaihtaa koulutuksesta toiseen. Heillä opintojen eteneminen osoittautui hitaimmaksi ja opintokokemukset negatiivisimmiksi. Koulutusta vaihtaneiden opiskelijoiden opintojen eteneminen näytti hitaalta verrattuna opintoihinsa tyytyväisiin opiskelijoihin. Koulutuksen vaihtamisen jälkeen opintojen eteneminen kuitenkin nopeutui ja opintotyytyväisyys lisääntyi.

Prediction of 3D structure and ligand-binding properties : ABC transporters and flavodiiron proteins from Synechocystis sp. strain PCC 6803

Cyanobacteria are unicellular, non-nitrogen-fixing prokaryotes, which perform photosynthesis similarly as higher plants. The cyanobacterium Synechocystis sp. strain PCC 6803 is used as a model organism in photosynthesis research. My research described herein aims at understanding the function of the photosynthetic machinery and how it responds to changes in the environment. Detailed knowledge of the regulation of photosynthesis in cyanobacteria can be utilized for biotechnological purposes, for example in the harnessing of solar energy for biofuel production. In photosynthesis, iron participates in electron transfer. Here, we focused on iron transport in Synechocystis sp. strain PCC 6803 and particularly on the environmental regulation of the genes encoding the FutA2BC ferric iron transporter, which belongs to the ABC transporter family. A homology model built for the ATP-binding subunit FutC indicates that it has a functional ATPbinding site as well as conserved interactions with the channel-forming subunit FutB in the transporter complex. Polyamines are important for the cell proliferation, differentiation and apoptosis in prokaryotic and eukaryotic cells. In plants, polyamines have special roles in stress response and in plant survival. The polyamine metabolism in cyanobacteria in response to environmental stress is of interest in research on stress tolerance of higher plants. In this thesis, the potd gene encoding an polyamine transporter subunit from Synechocystis sp. strain PCC 6803 was characterized for the first time. A homology model built for PotD protein indicated that it has capability of binding polyamines, with the preference for spermidine. Furthermore, in order to investigate the structural features of the substrate specificity, polyamines were docked into the binding site. Spermidine was positioned very similarly in Synechocystis PotD as in the template structure and had most favorable interactions of the docked polyamines. Based on the homology model, experimental work was conducted, which confirmed the binding preference. Flavodiiron proteins (Flv) are enzymes, which protect the cell against toxicity of oxygen and/or nitric oxide by reduction. In this thesis, we present a novel type of photoprotection mechanism in cyanobacteria by the heterodimer of Flv2/Flv4. The constructed homology model of Flv2/Flv4 suggests a functional heterodimer capable of rapid electron transfer. The unknown protein sll0218, encoded by the flv2-flv4 operon, is assumed to facilitate the interaction of the Flv2/Flv4 heterodimer and energy transfer between the phycobilisome and PSII. Flv2/Flv4 provides an alternative electron transfer pathway and functions as an electron sink in PSII electron transfer.

Defending behavior in bullying situations

In order to encourage children and adolescents to defend and support their victimized peers, it is important to identify factors that either maximize or minimize the probability that students will engage in such behaviors. This thesis is composed of four studies designed to elucidate how a variety of factors work in conjunction to explain why some children defend their victimized classmates, whereas others remain passive or reinforce the bully. The conceptual framework of this thesis is drawn from several theoretical considerations, including social cognitive learning theory, the expectancy-value framework as well as the literature emphasizing the importance of empathy in motivating behaviors. Also the child-by-environment perspective and the socialecological perspective influenced this research. Accordingly, several intra- and interpersonal characteristics (e.g., social cognitions, empathy, and social status) as well as group-level factors (e.g., norms) that may either enhance or reduce the probability that students defend their victimized peers are investigated. In Studies I and II, the focus is on social cognitions, and special attention is paid to take into account the domain-specificity of cognition-behavior processes. Self-efficacy for defending is still an interest of study III, but the role of affective empathy on defending is also investigated. Also social status variables (preference and perceived popularity) are evaluated as possible moderators of links between intrapersonal factors and defending. In Study IV, the focus is expanded further by concentrating on characteristics of children’s proximal environments (i.e., classroom). Bullying norms and collective perceptions (i.e., connectedness among the students and the teachers’ ability to deal with bullying situations) are examined. Data are drawn from two research projects: the Kaarina Cohort Study (consisting of fourth and eighth graders) and the randomized controlled trial (RCT) evaluating the effects of the KiVa antibullying program (consisting of third to fifth graders). The results of the thesis suggest that defending the victims of bullying is influenced by a variety of individual level motivational characteristics, such as social cognitions and affective empathy. Also, both perceived popularity and social preference play a role in defending, and the findings support the conceptualization that behavior results from the interplay between the characteristics of an individual child and their social-relational environment. Classroom context further influences students’ defending behavior. Thus, antibullying efforts targeting peer bystanders should aim to influence intra- and interpersonal characteristics of children and adolescents as well as their social environment.