Latentin kasvukäyräanalyysin avulla muutoksen mallintamisesta kehityksellisten ilmiöiden parempaan ymmärtämiseen

Summary: Using latent growth curve modeling to understand developmental phenomena

Pitkittäisaineistojen analyysista latenttien muuttujien malleilla

Summary: Analyzing longitudinal data using latent-variable models

Säähavaintoaseman käytettävyyteen vaikuttavat tekijät

Diplomityön tarkoituksena on tuoda esiin tuotteen käytettävyyden kehittämisen tärkeyden osana uuden tuotteen kehittämistä. Tavoitteena on analysoida liikuteltavan säähavaintoaseman käytettävyyden nykytilanne ja löytää mahdollisia käytettävyyden kehittämisalueita. Työssä käydään läpi eri käytettävyyden määritteitä ja käytettävyyden testausta. Käytettävyyden tarkastelunäkökulmia ovat asiakkaiden vaatimukset tuotteelle ja yleinen käytettävyyden subjektiivinen analysointi perustuen hyväksi tunnettuihin suunnittelun perusteisiin, heuristiikkoihin. Säähavaintoasemat ovat valittu eri segmenteistä, jotta voidaan tutkia säähavaintokonseptia, jollaista ei tänäpäivänä vielä ole ja löytää käyttäjien mahdollisia tulevaisuuden tarpeita. Näin saadaan myös laaja näkökulma eri segmenteille suunnattujen säähavaintoasemien käytettävyydestä.Käytettävyyttä voidaan pitää tehokkaana myyntiargumenttina. Tämä edellyttää läheistä yhteistyötä käyttäjien kanssa ja tietoa tuotteen käyttöympäristöstä. Tuotteen tulisi tutkimusten perusteella olla yksinkertainen toiminnoiltaan ja luotettava, jotta se vastasi käyttäjien tarpeita. Työssä osoitetaan myös useita käytettävyyden kehittämisalueita, joita kehittämällä voidaan vastata käyttäjien tarpeita. Tutkimuksen perusteella tutkittavat säähavaintoasemat voisivat olla käyttäjäystävällisempiä ja vastata paremmin käyttäjän tarpeita.Jatkotoimenpiteinä ehdotetaan esille tulleiden säähavaintoseman käytettävyyden osa-alueiden tarkempaa kartoittamista ja erityisesti käyttäjien tomintaympäristöjen ymmärtämistä. Näin varmistetaan käyttäjäystävällisyyden huomioiminen aikaisessa tuotesuunnitteluprosessin vaiheessa. Tuotteen käytettävyyden huomioiminen aikaisessa suunnitteluvaiheessa on yleensä myös edullista yhtiölleDiplomityön tarkoituksena on tuoda esiin tuotteen käytettävyyden kehittämisen tärkeyden osana uuden tuotteen kehittämistä. Tavoitteena on analysoida liikuteltavan säähavaintoaseman käytettävyyden nykytilanne ja löytää mahdollisia käytettävyyden kehittämisalueita. Työssä käydään läpi eri käytettävyyden määritteitä ja käytettävyyden testausta. Käytettävyyden tarkastelunäkökulmia ovat asiakkaiden vaatimukset tuotteelle ja yleinen käytettävyyden subjektiivinen analysointi perustuen hyväksi tunnettuihin suunnittelun perusteisiin, heuristiikkoihin. Säähavaintoasemat ovat valittu eri segmenteistä, jotta voidaan tutkia säähavaintokonseptia, jollaista ei tänäpäivänä vielä ole ja löytää käyttäjien mahdollisia tulevaisuuden tarpeita. Näin saadaan myös laaja näkökulma eri segmenteille suunnattujen säähavaintoasemien käytettävyydestä.Käytettävyyttä voidaan pitää tehokkaana myyntiargumenttina. Tämä edellyttää läheistä yhteistyötä käyttäjien kanssa ja tietoa tuotteen käyttöympäristöstä. Tuotteen tulisi tutkimusten perusteella olla yksinkertainen toiminnoiltaan ja luotettava, jotta se vastasi käyttäjien tarpeita. Työssä osoitetaan myös useita käytettävyyden kehittämisalueita, joita kehittämällä voidaan vastata käyttäjien tarpeita. Tutkimuksen perusteella tutkittavat säähavaintoasemat voisivat olla käyttäjäystävällisempiä ja vastata paremmin käyttäjän tarpeita.Jatkotoimenpiteinä ehdotetaan esille tulleiden säähavaintoseman käytettävyyden osa-alueiden tarkempaa kartoittamista ja erityisesti käyttäjien tomintaympäristöjen ymmärtämistä. Näin varmistetaan käyttäjäystävällisyyden huomioiminen aikaisessa tuotesuunnitteluprosessin vaiheessa. Tuotteen käytettävyyden huomioiminen aikaisessa suunnitteluvaiheessa on yleensä myös edullista yhtiölle

SC HIOMON JA PAPERIKONEEN LÄMPÖTASAPAINON HALLINTA

Kivihiokkeen valmistus on energiaintensiivistä. Käytetystä energiasta muuttuu yli 90 prosenttia lämmöksi. Hiomolla käytetystä lämmöksi muuttuneesta tehosta voidaan paperikoneelle siirtää noin puolet. Mekaanisen massan valmistuksen ja paperikoneen vesikierrot erotetaan toisistaan häiriöaineiden kulkeutumisen estämiseksi. Vesikiertojen erottamisella katkaistaan myös lämmön siirtyminen hiomolta paperikoneelle massojen mukana. Käyttämällä lämmönsiirtimiä hiomon vesien jäähdytyksessä, voidaan hiomon hiomakoneiden suihkuvesivesilämpötilaa alentaa. Lämmönsiirto vaikuttaa paperikoneella annostelumassojen laimennusten kautta perälaatikkolämpötilaa kohottavasti. Työn tehtäväksi määritettiin kesäkuukausina esiintyvä hiomakoneiden suihkuveden raakavesijäähdytyksen tarpeen poistaminen ensisijaisesti niin, että ylimäärälämpö hyödynnetään tehtaalla. Työn muiksi tavoitteiksi muodostui annostelumassojen lämpötilan hallinta, etenkin muutokset, joilla voidaan nostaa hylkymassan annostelulämpötilaa. Työn kokeellinen osa tehtiin UPM Kymmene Oyj Kajaanin tehtailla syksyn 2004 aikana. Työssä tutkittiin WinGEMS simulointiohjelmalla tehtyjen mallien avulla lämmön siirtymistä hiomon ja paperikone 2:n välillä, sekä lämmönsiirtoa pois tasealueelta. Simulointimalli nykytilanteesta rakennettiin yksityiskohtaisesti nykyisen tuotantoprosessin kaltaiseksi ja siitä muokattiin eri vaihtoehtoja, joilla ratkaistiin tutkimukselle asetetut tehtävät. Kytkentämuutoksilla pystyttiin siirtämään hiomolta yli 85 % hiomakoneiden suihkuveden ylimäärälämmöstä ilman uusia laitehankintoja. Asentamalla lopuksi lämmönsiirrin hiomon puhdassuodoslinjaan, hiomakoneiden suihkuveden jäähdytystarve poistettiin kokonaan. Samalla alennettiin valkaisuun menevän massan lämpötilaa, jolloin peroksidivalkaisun kemikaalikulutus väheni yli 10 %. Lämmönsiirrinverkostosta tehtiin kesätilanteen pinch-analyysi, jolla selvitettiin prosessin lämmitys ja jäähdytystarpeet. Analyysin perusteella selvisi, että kytkennöissä ei rikota pinch sääntöjä ja, että prosessissa esiintyy kynnysongelma, jossa prosessi tarvitsee ainoastaan jäähdytystä.

Advanced chemometric methods: Applicability on industrial data

Recent years have produced great advances in the instrumentation technology. The amount of available data has been increasing due to the simplicity, speed and accuracy of current spectroscopic instruments. Most of these data are, however, meaningless without a proper analysis. This has been one of the reasons for the overgrowing success of multivariate handling of such data. Industrial data is commonly not designed data; in other words, there is no exact experimental design, but rather the data have been collected as a routine procedure during an industrial process. This makes certain demands on the multivariate modeling, as the selection of samples and variables can have an enormous effect. Common approaches in the modeling of industrial data are PCA (principal component analysis) and PLS (projection to latent structures or partial least squares) but there are also other methods that should be considered. The more advanced methods include multi block modeling and nonlinear modeling. In this thesis it is shown that the results of data analysis vary according to the modeling approach used, thus making the selection of the modeling approach dependent on the purpose of the model. If the model is intended to provide accurate predictions, the approach should be different than in the case where the purpose of modeling is mostly to obtain information about the variables and the process. For industrial applicability it is essential that the methods are robust and sufficiently simple to apply. In this way the methods and the results can be compared and an approach selected that is suitable for the intended purpose. Differences in data analysis methods are compared with data from different fields of industry in this thesis. In the first two papers, the multi block method is considered for data originating from the oil and fertilizer industries. The results are compared to those from PLS and priority PLS. The third paper considers applicability of multivariate models to process control for a reactive crystallization process. In the fourth paper, nonlinear modeling is examined with a data set from the oil industry. The response has a nonlinear relation to the descriptor matrix, and the results are compared between linear modeling, polynomial PLS and nonlinear modeling using nonlinear score vectors.

Utilisation of customer contacts: customer observation

Importance of customer as a source of knowledge and finding out the customer needs have both been emphasised both in business literature and in the interviews made for this study. Especially the latent customer needs are seen important for future competitiveness. However, the methods for finding out the customer needs concentrate on the present, clearly phrased needs. There is a need for rich customer based knowledge. Customer contacts are underutilised as a source of knowledge. The objective of this study is to find a method to utilise the customer contacts as a source of knowledge more efficiently. To reach this objective, the customer observation is presented. A concrete goal is the development of a general method of customer observation and its application to the needs of the case company Fastems. Fastems hopes that the method raises the amount of ideas that come to the product and service development processes and increases their customer orientation. The method is tested in practise in the piloting stage. The testing is done in service organisations of Fastems in several countries. The observations received during the piloting phase are analysed and feedback is given to the observers. An important part of the study is to find appropriate methods for motivating the observers. The successful implementation and sustenance of the method are seen as goals of high importance. Later on, the customer observation method is implemented throughout the company. The results of the piloting are promising and the described method has roused interest among other companies as well.

Identifying first graders at risk of reading and writing difficulties : creating a group-based screening tool in kiswahili in Tanzania

Early identification of beginning readers at risk of developing reading and writing difficulties plays an important role in the prevention and provision of appropriate intervention. In Tanzania, as in other countries, there are children in schools who are at risk of developing reading and writing difficulties. Many of these children complete school without being identified and without proper and relevant support. The main language in Tanzania is Kiswahili, a transparent language. Contextually relevant, reliable and valid instruments of identification are needed in Tanzanian schools. This study aimed at the construction and validation of a group-based screening instrument in the Kiswahili language for identifying beginning readers at risk of reading and writing difficulties. In studying the function of the test there was special interest in analyzing the explanatory power of certain contextual factors related to the home and school. Halfway through grade one, 337 children from four purposively selected primary schools in Morogoro municipality were screened with a group test consisting of 7 subscales measuring phonological awareness, word and letter knowledge and spelling. A questionnaire about background factors and the home and school environments related to literacy was also used. The schools were chosen based on performance status (i.e. high, good, average and low performing schools) in order to include variation. For validation, 64 children were chosen from the original sample to take an individual test measuring nonsense word reading, word reading, actual text reading, one-minute reading and writing. School marks from grade one and a follow-up test half way through grade two were also used for validation. The correlations between the results from the group test and the three measures used for validation were very high (.83-.95). Content validity of the group test was established by using items drawn from authorized text books for reading in grade one. Construct validity was analyzed through item analysis and principal component analysis. The difficulty level of most items in both the group test and the follow-up test was good. The items also discriminated well. Principal component analysis revealed one powerful latent dimension (initial literacy factor), accounting for 93% of the variance. This implies that it could be possible to use any set of the subtests of the group test for screening and prediction. The K-Means cluster analysis revealed four clusters: at-risk children, strugglers, readers and good readers. The main concern in this study was with the groups of at-risk children (24%) and strugglers (22%), who need the most assistance. The predictive validity of the group test was analyzed by correlating the measures from the two school years and by cross tabulating grade one and grade two clusters. All the correlations were positive and very high, and 94% of the at-risk children in grade two were already identified in the group test in grade one. The explanatory power of some of the home and school factors was very strong. The number of books at home accounted for 38% of the variance in reading and writing ability measured by the group test. Parents´ reading ability and the support children received at home for schoolwork were also influential factors. Among the studied school factors school attendance had the strongest explanatory power, accounting for 21% of the variance in reading and writing ability. Having been in nursery school was also of importance. Based on the findings in the study a short version of the group test was created. It is suggested for use in the screening processes in grade one aiming at identifying children at risk of reading and writing difficulties in the Tanzanian context. Suggestions for further research as well as for actions for improving the literacy skills of Tanzanian children are presented.

En gestaltning av individens erfarenhetsbaserade kunskap inom diabetesvården

The aim of this study is to form the experience-based knowledge of diabetics. The broader intent is to be able to transform this experience-based knowledge as an asset within caring. In this study, a theoretical contact for the empirical data is presented through phronesis, i.e. practical wisdom. Phronesis can be seen as the most suitable form of knowledge to be able to deepen the individual's understanding of experiencebased knowledge. For this research, hermeneutic phenomenology was chosen. Abductive reasoning was the method chosen to approach the data collected through repeated deep interviews with individuals with personal experience of diabetes and the use of insulin pumps. The abductive approach fascilitates a broader interpretation of the primary empirical results via a theory of philosophy of science, such as phronesis, the life-world and the negativity of the experience. The latent message of the empirical data is thereby also additionally highlighted. The synthesis reveals that experience-based knowledge arrives with time, it is personified and praxis-oriented, and before this time, the knowledge and security must be provided by the established care, by people close to the individual or by other external sources. The experience-based knowledge has strenghts and weaknesses. The knowledge is further categorized by the individual's ability to discern and make judgement. Additionally, the experience-based kowledge is a reflecting and action-based knowledge striving to improve the care provided. The experience-based knowledge held by the individual is potentially a great instrument towards improving general knowledge with possible practical applications within the diabetic care. Furthermost, in practical suggestions to fascilitate care. In generally applying knowledge gathered from the individual's experiental point of view, there are inherent risks. These risks could potentially be eliminated through the adoption of a concept where the established care could function as a quality guarantor. A concept taking into account the experiencebased knowledge as a source of information and knowledge in the care for diabetics. Co-created knowledge and understanding is a position found in both self-care and pump-treatment. It is also found through the optimal application of the experience-based knowledge of the individual as well as the knowledge found within the established care, in order to fascilitate well-being. This as expressed by the individual's phronesis-based knowledge.

Asiakastarpeiden kartoitus kuljetusten häiriöiden analysoinnin ja hallinnan kehittämiseksi

Tämä diplomityö on tehty osana Logproof-tutkimushanketta, joka keskittyy häiriöttömyyden hallintaan logistisissa monitoimijaverkostoissa. Työn tavoitteena on selvittää logistiikkaintensiivisten yritysten tarpeita kuljetusten häiriöiden analysoinnin ja hallinnan kehittämiseksi ja siten ennakoivan riskienhallinnan edistämiseksi. Asiakastarvetietoa on kerätty hyödyntäen puolistrukturoituja haastatteluja ja tietoa on analysoitu käyttäen hyväksi sisällönanalyysiä sekä tulkintataulukkoa. Kiinnostus kuljetusten häiriöitä ja niiden analysointia kohtaan on kasvamassa ja yrityksissä tiedostetaan hallintajärjestelmien ja analysoinnin tarve tulevaisuudessa. Kirjallisuuskatsauksen ja asiakastarpeiden kartoituksen avulla työssä on selvitetty yritysten nykytilaa kuljetusten häiriöiden hallinnan ja analysoinnin osalta ja tarkasteltu mahdollisia tulevaisuuden kehityssuuntia analysoimalla asiakkaiden näkyviä ja piileviä tarpeita. Työssä on edellisten lisäksi tarkasteltu, kuinka havaitut asiakastarpeet ovat sovitettavissa yhteen case-yrityksen, Oy Lars Krogius Ab:n, ARS (Analytic Rou-ting Solution) -palvelun ominaispiirteiden kanssa. Työ tarjoaa tarvetietoa palvelun tulevaisuuden kehitykselle.

Osaamisen johtaminen pk-yrityksen kansainvälisen kasvun elinkaarella

Tutkimuksen tavoitteena oli osaamisen johtamisen holistinen tarkastelu pk-yrityksen kansainvälisen kasvun elinkaarella. Osaamisen johtamisen malli sisältää osaamisen, tiedon, eriasteiset ja hierarkisesti eritasoiset liittoumat ja verkostot sekä internetin tarjonnan organisaation oppimisen ohella. Pk-yrityksen syntyminen, kasvu kotimarkkinoilla ja kansainvälinen kasvu voivat perustua kansainvälisyyteen. Holistinen kansainvälistyminen voi alkaa mistä funktiosta tai prosessista tahansa ja ulottua eriasteisena muihin funktioihin ja/tai prosesseihin. Kansainvälistyminen ja kansainvälinen toiminta voi katketa kokonaan tai funktioitain ja alkaa uudelleen. Tutkimuksen holistisella mallilla analysoitiin tapausyritykset hyödyntämällä osa-aluekronologiaa. Tuloksilla tarkennettiin mallia. Tarkennettu malli korostaa kasvu ja/tai kansainvälistymisärsykkeen/impulssin syntyvän sekä kotiettä ulkomaisilta kysyntä- ja/tai tarjontamarkkinoilta sekä yrityksen sisä- että ulkopuolelta tai olevan piilevänä omistajayrittäjässä. Holistisuus korostaa mallin kaikissa osissa ennen alkua (pre-start) vaiheen asemaa, päättymätöntä uudistumisprosessia. Osaamisen johtamisessa korostuu proaktiivisuus. Jokainen uudistamisprosessi edellyttää olevan osaamisen vahvistamista, ja organisaation ulkopuolisen osaamis- ja tietopääoman hyödyntämistä. Osaamisen johtaminen sisältää varsinaisen ja laajennetun organisaation yksilöiden, ryhmien ja yksiköiden visio- ja strategiaperusteisen johtamisen. Tämä edellyttää sitouttamista, motivointia ja omaehtoisuuden sekä organisaation sisäisen ja ulkoisen kulttuurietäisyyden hyödyntämistä. Yksilön fokus osaamisen johtamisen näkökulmasta on tehtävään sitoutuminen ja itsensä toteuttaminen. Fokukset ovat proaktiiviisia vaihdellen funktioiden ja prosessien elinkaarilla dynaamisesti. Tutkimus myötävaikuttaa omistajayrittäjän roolin korostamiseen, kasvu- ja kansainvälistymisimpulssin ja ennen alkua (pre start) vaiheen holistisuuden ymmärtämiseen laaja-alaisesti. Kasvu- ja kansainvälistymisimpulsseja/ärsykkeitä ja niistä seuraavia pre start vaiheita/osa-alueita on pk-yrityksen elinkaarella (1+n) kappaletta; (n: 0- oo). Malli myötävaikuttaa ymmärtämään aineettomia osaamis- ja tieto-optioita sekä korostaa transnationalpiirteitä kansainvälistä kasvua vahvistavina.

Industrial solution business – transition from product to solution offering

The business logic in the manufacturing industry has changed in the 21st century. In the current industrial market, manufacturers are driven to provide more comprehensive offerings that go beyond the traditional product-orientation by providing capacity and availability for their customers. From incidental merchandise, services have become the core of manufacturers’ offerings with long-lasting service agreements over the life-cycles of their products. This change is driven both by the need of providers to grow and gain competitive advantage and by increased customer demand caused by customers’ outsourcing trends. The three key drivers for manufacturers’ service strategies are outsourcing trends, saturation of the installed base, and commoditization in product markets. Thus, manufacturers focus on providing industrial solutions which are delivered through relational processes with customers by using solution-driven business models. In the management of marketing activities, this can be regarded as closer customer relationships, service-dominant business logic, and collaboration in solving customers’ problems. However, there are few studies on comprehensive conceptualizations of a solution offering that include different elements and their roles, especially in the context of capital goods industry. Also the transition process needs further studies in a real life context. This study explores the transition process of an industrial company from product to solution business and, as an aid to managing the solution business, explicates the structure and management of an industrial solution offering. There are two themes, the industrial transition process and industrial solution offering. Regarding the industrial transition process, the aim is to understand the supplier view on the process and its execution and to determine the challenges related to the transition process. The industrial solution offering is discussed by its elements and characteristics, as well as management. Furthermore, a special type of build-own-operate-transfer business model is presented and its suitability in the industrial context analyzed. The study includes findings achieved by qualitative methods and from four case companies. Based on the results, it is tentatively suggested that in the industrial solution business, the transition from product to solution business is not a linear project but an evolving process that varies according to customer needs, which suggests that companies need to possess an ability to develop new business models for different customer needs. The industrial solution offering is dynamic as it evolves in collaboration according to the prevailing and latent customer needs, which suggest restructuring of the organization from a product-centric to a customer-centric one. Furthermore, based on the findings, the concept of industrial solutions is defined as an ongoing relational process to satisfy a customer’s particular business or operational requirements, and the concept of industrial solution offering as an entity comprising the customized goods, services, collaboration, and finance needed to fulfill the industrial solution. Finally, the study offers several managerial implications for industrial managers involved in the transition and management of the solution business and its offering.

Spontaneous Focusing on Quantitative Relations and the Development of Rational Number Conceptual Knowledge

The aim of the present set of studies was to explore primary school children’s Spontaneous Focusing On quantitative Relations (SFOR) and its role in the development of rational number conceptual knowledge. The specific goals were to determine if it was possible to identify a spontaneous quantitative focusing tendency that indexes children’s tendency to recognize and utilize quantitative relations in non-explicitly mathematical situations and to determine if this tendency has an impact on the development of rational number conceptual knowledge in late primary school. To this end, we report on six original empirical studies that measure SFOR in children ages five to thirteen years and the development of rational number conceptual knowledge in ten- to thirteen-year-olds. SFOR measures were developed to determine if there are substantial differences in SFOR that are not explained by the ability to use quantitative relations. A measure of children’s conceptual knowledge of the magnitude representations of rational numbers and the density of rational numbers is utilized to capture the process of conceptual change with rational numbers in late primary school students. Finally, SFOR tendency was examined in relation to the development of rational number conceptual knowledge in these students. Study I concerned the first attempts to measure individual differences in children’s spontaneous recognition and use of quantitative relations in 86 Finnish children from the ages of five to seven years. Results revealed that there were substantial inter-individual differences in the spontaneous recognition and use of quantitative relations in these tasks. This was particularly true for the oldest group of participants, who were in grade one (roughly seven years old). However, the study did not control for ability to solve the tasks using quantitative relations, so it was not clear if these differences were due to ability or SFOR. Study II more deeply investigated the nature of the two tasks reported in Study I, through the use of a stimulated-recall procedure examining children’s verbalizations of how they interpreted the tasks. Results reveal that participants were able to verbalize reasoning about their quantitative relational responses, but not their responses based on exact number. Furthermore, participants’ non-mathematical responses revealed a variety of other aspects, beyond quantitative relations and exact number, which participants focused on in completing the tasks. These results suggest that exact number may be more easily perceived than quantitative relations. As well, these tasks were revealed to contain both mathematical and non-mathematical aspects which were interpreted by the participants as relevant. Study III investigated individual differences in SFOR 84 children, ages five to nine, from the US and is the first to report on the connection between SFOR and other mathematical abilities. The cross-sectional data revealed that there were individual differences in SFOR. Importantly, these differences were not entirely explained by the ability to solve the tasks using quantitative relations, suggesting that SFOR is partially independent from the ability to use quantitative relations. In other words, the lack of use of quantitative relations on the SFOR tasks was not solely due to participants being unable to solve the tasks using quantitative relations, but due to a lack of the spontaneous attention to the quantitative relations in the tasks. Furthermore, SFOR tendency was found to be related to arithmetic fluency among these participants. This is the first evidence to suggest that SFOR may be a partially distinct aspect of children’s existing mathematical competences. Study IV presented a follow-up study of the first graders who participated in Studies I and II, examining SFOR tendency as a predictor of their conceptual knowledge of fraction magnitudes in fourth grade. Results revealed that first graders’ SFOR tendency was a unique predictor of fraction conceptual knowledge in fourth grade, even after controlling for general mathematical skills. These results are the first to suggest that SFOR tendency may play a role in the development of rational number conceptual knowledge. Study V presents a longitudinal study of the development of 263 Finnish students’ rational number conceptual knowledge over a one year period. During this time participants completed a measure of conceptual knowledge of the magnitude representations and the density of rational numbers at three time points. First, a Latent Profile Analysis indicated that a four-class model, differentiating between those participants with high magnitude comparison and density knowledge, was the most appropriate. A Latent Transition Analysis reveal that few students display sustained conceptual change with density concepts, though conceptual change with magnitude representations is present in this group. Overall, this study indicated that there were severe deficiencies in conceptual knowledge of rational numbers, especially concepts of density. The longitudinal Study VI presented a synthesis of the previous studies in order to specifically detail the role of SFOR tendency in the development of rational number conceptual knowledge. Thus, the same participants from Study V completed a measure of SFOR, along with the rational number test, including a fourth time point. Results reveal that SFOR tendency was a predictor of rational number conceptual knowledge after two school years, even after taking into consideration prior rational number knowledge (through the use of residualized SFOR scores), arithmetic fluency, and non-verbal intelligence. Furthermore, those participants with higher-than-expected SFOR scores improved significantly more on magnitude representation and density concepts over the four time points. These results indicate that SFOR tendency is a strong predictor of rational number conceptual development in late primary school children. The results of the six studies reveal that within children’s existing mathematical competences there can be identified a spontaneous quantitative focusing tendency named spontaneous focusing on quantitative relations. Furthermore, this tendency is found to play a role in the development of rational number conceptual knowledge in primary school children. Results suggest that conceptual change with the magnitude representations and density of rational numbers is rare among this group of students. However, those children who are more likely to notice and use quantitative relations in situations that are not explicitly mathematical seem to have an advantage in the development of rational number conceptual knowledge. It may be that these students gain quantitative more and qualitatively better self-initiated deliberate practice with quantitative relations in everyday situations due to an increased SFOR tendency. This suggests that it may be important to promote this type of mathematical activity in teaching rational numbers. Furthermore, these results suggest that there may be a series of spontaneous quantitative focusing tendencies that have an impact on mathematical development throughout the learning trajectory.

Quantitative Analysis of Novel Prostate Cancer Markers in Tissue

Prostate cancer is a heterogeneous disease affecting an increasing number of men all over the world, but particularly in the countries with the Western lifestyle. The best biomarker assay currently available for the diagnosis of the disease, the measurement of prostate specific antigen (PSA) levels from blood, lacks specificity, and even when combined with invasive tests such as digital rectal exam and prostate tissue biopsies, these methods can both miss cancers, and lead to overdiagnosis and subsequent overtreatment of cancers. Moreover, they cannot provide an accurate prognosis for the disease. Due to the high prevalence of indolent prostate cancers, the majority of men affected by prostate cancer would be able to live without any medical intervention. Their latent prostate tumors would not cause any clinical symptoms during their lifetime, but few are willing to take the risk, as currently there are no methods or biomarkers to reliably differentiate the indolent cancers from the aggressive, lethal cases that really are in need of immediate medical treatment. This doctoral work concentrated on validating 12 novel candidate genes for use as biomarkers for prostate cancer by measuring their mRNA expression levels in prostate tissue and peripheral blood of men with cancer as well as unaffected individuals. The panel of genes included the most prominent markers in the current literature: PCA3 and the fusion gene TMPRSS2-ERG, in addition to BMP-6, FGF-8b, MSMB, PSCA, SPINK1, and TRPM8; and the kallikrein-related peptidase genes 2, 3, 4, and 15. Truly quantitative reverse-transcription PCR assays were developed for each of the genes for the purpose, time-resolved fluorometry was applied in the real-time detection of the amplification products, and the gene expression data were normalized by using artificial internal RNA standards. Cancer-related, statistically significant differences in gene transcript levels were found for TMPRSS2-ERG, PCA3, and in a more modest scale, for KLK15, PSCA, and SPINK1. PCA3 RNA was found in the blood of men with metastatic prostate cancer, but not in localized cases of cancer, suggesting limitations for using this method for early cancer detection in blood. TMPRSS2-ERG mRNA transcripts were found more frequently in cancerous than in benign prostate tissues, but they were present also in 51% of the histologically benign prostate tissues of men with prostate cancer, while being absent in specimens from men without any signs of prostate cancer. PCA3 was shown to be 5.8 times overexpressed in cancerous tissue, but similarly to the fusion gene mRNA, its levels were upregulated also in the histologically benign regions of the tissue if the corresponding prostate was harboring carcinoma. These results indicate a possibility to utilize these molecular assays to assist in prostate cancer risk evaluation especially in men with initially histologically negative biopsies.

Adaptive Markov chain Monte Carlo and Bayesian filtering for state space models

This thesis is concerned with the state and parameter estimation in state space models. The estimation of states and parameters is an important task when mathematical modeling is applied to many different application areas such as the global positioning systems, target tracking, navigation, brain imaging, spread of infectious diseases, biological processes, telecommunications, audio signal processing, stochastic optimal control, machine learning, and physical systems. In Bayesian settings, the estimation of states or parameters amounts to computation of the posterior probability density function. Except for a very restricted number of models, it is impossible to compute this density function in a closed form. Hence, we need approximation methods. A state estimation problem involves estimating the states (latent variables) that are not directly observed in the output of the system. In this thesis, we use the Kalman filter, extended Kalman filter, Gauss–Hermite filters, and particle filters to estimate the states based on available measurements. Among these filters, particle filters are numerical methods for approximating the filtering distributions of non-linear non-Gaussian state space models via Monte Carlo. The performance of a particle filter heavily depends on the chosen importance distribution. For instance, inappropriate choice of the importance distribution can lead to the failure of convergence of the particle filter algorithm. In this thesis, we analyze the theoretical Lᵖ particle filter convergence with general importance distributions, where p ≥2 is an integer. A parameter estimation problem is considered with inferring the model parameters from measurements. For high-dimensional complex models, estimation of parameters can be done by Markov chain Monte Carlo (MCMC) methods. In its operation, the MCMC method requires the unnormalized posterior distribution of the parameters and a proposal distribution. In this thesis, we show how the posterior density function of the parameters of a state space model can be computed by filtering based methods, where the states are integrated out. This type of computation is then applied to estimate parameters of stochastic differential equations. Furthermore, we compute the partial derivatives of the log-posterior density function and use the hybrid Monte Carlo and scaled conjugate gradient methods to infer the parameters of stochastic differential equations. The computational efficiency of MCMC methods is highly depend on the chosen proposal distribution. A commonly used proposal distribution is Gaussian. In this kind of proposal, the covariance matrix must be well tuned. To tune it, adaptive MCMC methods can be used. In this thesis, we propose a new way of updating the covariance matrix using the variational Bayesian adaptive Kalman filter algorithm.

Piilevien asiakastarpeiden tunnistaminen – repertory grid -tekniikka

Tässä työssä tutkitaan asiakaslähtöisyyttä tuotekehityksessä ja piilevien asiakastarpeiden selvittämistä ja hyödyntämistä asiakaslähtöisyydessä. Tavoitteena on selvittää asiakaslähtöisyyden tärkeyttä ja etuja tuotekehityksessä, sekä käydä läpi erilaisia asiakastarpeiden selvittämismetodeja erityisesti keskittyen repertory grid –tekniikkaan (RGT). Asiakaslähtöisyys tuo yrityksille merkittävää kilpailuetua tuotekehityksen alkupäähän. Erityisesti piilevät asiakastarpeet voivat mahdollistaa tuoteinnovaatioita, joilla saavutetaan huomattavasti parempaa asiakastyytyväisyyttä ja etulyöntiasemaa kilpailijoihin nähden. Piileviä asiakastarpeita voi tunnistaa repertory grid –tekniikalla, jota on avattu tässä työssä. Tekniikka mahdollistaa piilevien asiakastarpeiden tunnistamisen, mikä osaltaan edistää etulyöntiaseman antavia asiakaslähtöisiä tuoteinnovaatioita, joilla yritys voi differoitua muista markkinoilla olevista yrityksistä. Asiakaslähtöisyyden tulee tuotekehityksen lähtökohdan lisäksi olla osa yrityksen strategiaa ja kulttuuria, jotta yritys voi menestyä asiakaslähtöisyydellä.