15 resultados para cluster analysis

em Helda - Digital Repository of University of Helsinki


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Bacteria play an important role in many ecological systems. The molecular characterization of bacteria using either cultivation-dependent or cultivation-independent methods reveals the large scale of bacterial diversity in natural communities, and the vastness of subpopulations within a species or genus. Understanding how bacterial diversity varies across different environments and also within populations should provide insights into many important questions of bacterial evolution and population dynamics. This thesis presents novel statistical methods for analyzing bacterial diversity using widely employed molecular fingerprinting techniques. The first objective of this thesis was to develop Bayesian clustering models to identify bacterial population structures. Bacterial isolates were identified using multilous sequence typing (MLST), and Bayesian clustering models were used to explore the evolutionary relationships among isolates. Our method involves the inference of genetic population structures via an unsupervised clustering framework where the dependence between loci is represented using graphical models. The population dynamics that generate such a population stratification were investigated using a stochastic model, in which homologous recombination between subpopulations can be quantified within a gene flow network. The second part of the thesis focuses on cluster analysis of community compositional data produced by two different cultivation-independent analyses: terminal restriction fragment length polymorphism (T-RFLP) analysis, and fatty acid methyl ester (FAME) analysis. The cluster analysis aims to group bacterial communities that are similar in composition, which is an important step for understanding the overall influences of environmental and ecological perturbations on bacterial diversity. A common feature of T-RFLP and FAME data is zero-inflation, which indicates that the observation of a zero value is much more frequent than would be expected, for example, from a Poisson distribution in the discrete case, or a Gaussian distribution in the continuous case. We provided two strategies for modeling zero-inflation in the clustering framework, which were validated by both synthetic and empirical complex data sets. We show in the thesis that our model that takes into account dependencies between loci in MLST data can produce better clustering results than those methods which assume independent loci. Furthermore, computer algorithms that are efficient in analyzing large scale data were adopted for meeting the increasing computational need. Our method that detects homologous recombination in subpopulations may provide a theoretical criterion for defining bacterial species. The clustering of bacterial community data include T-RFLP and FAME provides an initial effort for discovering the evolutionary dynamics that structure and maintain bacterial diversity in the natural environment.

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In meteorology, observations and forecasts of a wide range of phenomena for example, snow, clouds, hail, fog, and tornados can be categorical, that is, they can only have discrete values (e.g., "snow" and "no snow"). Concentrating on satellite-based snow and cloud analyses, this thesis explores methods that have been developed for evaluation of categorical products and analyses. Different algorithms for satellite products generate different results; sometimes the differences are subtle, sometimes all too visible. In addition to differences between algorithms, the satellite products are influenced by physical processes and conditions, such as diurnal and seasonal variation in solar radiation, topography, and land use. The analysis of satellite-based snow cover analyses from NOAA, NASA, and EUMETSAT, and snow analyses for numerical weather prediction models from FMI and ECMWF was complicated by the fact that we did not have the true knowledge of snow extent, and we were forced simply to measure the agreement between different products. The Sammon mapping, a multidimensional scaling method, was then used to visualize the differences between different products. The trustworthiness of the results for cloud analyses [EUMETSAT Meteorological Products Extraction Facility cloud mask (MPEF), together with the Nowcasting Satellite Application Facility (SAFNWC) cloud masks provided by Météo-France (SAFNWC/MSG) and the Swedish Meteorological and Hydrological Institute (SAFNWC/PPS)] compared with ceilometers of the Helsinki Testbed was estimated by constructing confidence intervals (CIs). Bootstrapping, a statistical resampling method, was used to construct CIs, especially in the presence of spatial and temporal correlation. The reference data for validation are constantly in short supply. In general, the needs of a particular project drive the requirements for evaluation, for example, for the accuracy and the timeliness of the particular data and methods. In this vein, we discuss tentatively how data provided by general public, e.g., photos shared on the Internet photo-sharing service Flickr, can be used as a new source for validation. Results show that they are of reasonable quality and their use for case studies can be warmly recommended. Last, the use of cluster analysis on meteorological in-situ measurements was explored. The Autoclass algorithm was used to construct compact representations of synoptic conditions of fog at Finnish airports.

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The thesis addresses the problem of Finnish Iron Age bells, pellet bells and bell pendants, previously unexplored musical artefacts from 400–1300 AD. The study, which contributes to the field of music archaeology, aims to provide a gateway to ancient soundworlds and ideas of music making. The research questions include: Where did these metal artefacts come from? How did they sound? How were they used? What did their sound mean to the people of the Iron Age? The data collected at the National Museum of Finland and at several provincial museums covers a total of 486 bells, pellet bells and bell pendants. By means of a cluster analysis, each category was divided into several subgroups. The subgroups, which all seem to have a different dating and geographical distribution, represent a spread of both local and international manufacturing traditions. According to an elemental analysis, the material varies from iron to copper-tin, copper-lead and copper-tin-lead alloys. Clappers, pellets and pebbles prove that the bells and pellet bells were indisputably instruments intended for sound production. Clusters of small bell pendants, however, probably produced sound by jingling against each other. Spectrogram plots reveal that the partials of the still audible sounds range from 1 000 to 19 850 Hz. On the basis of 129 inhumation graves, hoards, barrows and stray finds, it seems evident that the bells, pellet bells and bell pendants were fastened to dresses and horse harnesses or carried in pouches and boxes. The resulting acoustic spaces could have been employed in constructing social hierarchies, since the instruments usually appear in richly furnished graves. Furthermore, the instruments repeatedly occur with crosses, edge tools and zoomorphic pendants that in the later Finnish-Karelian culture were regarded as prophylactic amulets. In the Iron Age as well as in later folk culture, the bell sounds seem to have expressed territorial, social and cosmological boundaries.

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The main goal of this study was to explore experiences induced by playing digital games (i.e. meaning of playing). In addition, the study aimed at structuring the larger entities of gaming experience. This was done by using theory-driven and data grounded approaches. Previously gaming experiences have not been explored as a whole. The consideration of gaming experiences on the basis of psychological theories and studies has also been rare. The secondary goal of this study was to clarify, whether the individual meanings of playing are connected with flow experience in an occasional gaming situation. Flow is an enjoyable experience and usually activities that induce flow are gladly repeated. Previously, flow has been proved to be an essential concept in the context of playing, but the relations between meanings of playing and flow have not been studied. The relations between gender and gaming experiences were examined throughout the study, as well as the relationship between gaming frequency and experiences. The study was divided into two sections, of which the first was composed according to the main goals. Its data was gathered by using an Internet questionnaire. The other section covered the themes that were formulated on the basis of the secondary aims. In that section, the participants played a driving game for 40 minutes and then filled in a questionnaire, which measured flow related experiences. In both sections, the participants were mainly young Finnish adults. All the participants in the second section (n = 60) had already participated in the first section (n = 267). Both qualitative and quantitative research techniques were used in the study. In the first section, freely described gaming experiences were classified according to the grounded theory. After that, the most common categories were further classified into the basic structures of gaming experience, some according to the existing theories of experience structure and some according to the data (i.e. grounded theory). In the other section flow constructs were measured and used as grouping variables in a cluster analysis. Three meaningful groups were compared regarding the meanings of gaming that were explored in the first section. The descriptions of gaming experiences were classified into four main categories, which were conceptions of the gaming process, emotions, motivations and focused attention. All the theory-driven categories were found in the data. This frame of reference can be utilized in future when reliability and validity of already existing methods for measuring gaming experiences are considered or new methods will be developed. The connection between the individual relevance of gaming and flow was minor. However, as the scope was specified to relations between primary meanings of playing and flow, it was noticed that attributing enjoyment to gaming did not lead to the strongest flow-experiences. This implies that the issue should be studied more in future. As a whole this study proves that gamer-related research from numerous vantage points can benefit from concentrating on gaming experiences.

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The objective of the study was to explore the dimensions of group identity in the guilds of World of Warcraft. Previous research shows that social interaction has an important role in playing games for many players. Social identities are an important aspect of self-concept and since group related cues are more salient than personal clues in computer-mediated communication, the social gaming experience was approached through group identity. In the study a new scale will be developed to measure the group identity in games. Secondary goal is to study how different guild attributes affect the group identity and third goal is to explore the connection between group identity and gaming experience and amount of play. Subjects were 1203 guild members and 106 players not in a guild. The data was gathered by an Internet survey which measured group identity with nine scales, gaming experience with three scales and guild attributes with four scales. Also various background data was gathered. The construct of group identity was analyzed with explorative factor analysis. The typical experiences of group identity was analyzed with cluster analysis and effects of guild attributes with multivariate analysis of covariance. As a result of the study a new scale was developed which measured group identity on six dimensions: self-stereotyping, public and private evaluation, importance, interconnection of self and others and awareness of content. Group identity was experienced strongest in elder middle-sized guilds that had formal rules and that emphasized social interaction. The players with strong group identity had more positive gaming experience and played World of Warcraft more per week than the players who were not in a guild or identified to guild weakly. This result encourages game developers to produce environments that enhance group identity as it seems to increase the enjoyment in games. As a whole this study proposes that group identity in guilds is constructed from the same elements as in traditional groups. If this is truly the case, guild membership may have similar positive effects on individual’s mental well-being as traditional positively evaluated group memberships have.

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The aim of this study was to build a model and analyze how users move in a virtual environment and to explore the experiential dimensions connected with different ways of moving. Due to the lack of previous research on this subject, this was an explorative study. This study also aimed to identify different ways how users move in virtual environments and the background variables connected to them. It was hypothesized that fluent movement in virtual environments is connected to high presence, skill and challenge assessments. Test participants (n = 68) were mostly highly educated young adults. A virtual environment was built using a CAVE -type virtual reality interface. The task was to search for objects that do not belong into a normal house. The participants movement in the virtual house was recorded on a computer. Movement was modelled using a cluster analysis of information entropy based movement measurements, acceleration, amount of stops and time spent being stationary. The experiential dimensions were measured using the EVEQ -questionnaire. We were able to identify four different ways of moving in virtual environments. In respect of background variables, the four groups differed only in the amount of weekly computer usage. However, fluent movement in virtual environments was connected to a high sense of presence. Furthermore, participants who moved fluently in the environment assessed their skills as being high and regarded the use of virtual environment as challenging. The results indicate that different ways of moving affects how people experience virtual environments. Consequently the participants assessment of their skills and level of challenge have an impact on the affective evaluation of the situation at hand. Entropy measures have not been previously applied when studying movement, and in addition the role of movement on the experiential dimensions of virtual environments is an unexplored subject. The movement analysis method introduced here is applicable to other research problems. Finally, this study expands on our knowledge of the special characteristics connected with the experiential dimensions of virtual environments.

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Personal goals offer an important aspect of personality and motivation. Personal goals are conscious and subjectively motivated objectives by which a person directs his or her life over time. Personal goals are related to adolescents' subjective well-being. The aim of the present research was to find out, what kinds of groups of adolescents can be formed by the content of personal goals and how these groups differ in goal appraisals, meaningful life events and subjective well-being. The second aim of the study was to detect gender differences and differences between vocational and high school students in goal appraisals, meaningful life events and subjective well-being. Adolescents in upper secondary education (N=1144) were grouped together by the content of their personal goals using a person oriented approach and a cluster analysis. Clusters found in the analysis were named by the centre goal as (1) a property group, (2) a vocation group, (3) a future education and personal relationships group and (4) a selffocused group. Adolescents in the property group put a little effort into their career goal, they were not exhausted in school work and their subjective well-being was average. Adolescents in the vocation group felt progress in their career goal and put effort into it. They had goals related to life-style. They did not feel exhausted and their subjective well-being was average. The future education and personal relationships group put effort into their career goal and considered progressing in it. Personal relationships were important in their lives. They were exhausted in their school work but they did not feel cynicism. Their own health was one of their goals and they felt satisfaction in their life. Adolescents in the self-focused group did not put effort into their career goal nor considered progressing in it. They were exhausted and especially cynical in their school work. They suffered from almost clinically significant depression. They had low life-satisfaction and low self-esteem. The following gender and educational differences were found. Compared with boys, girls felt their career goal was more important and stressful, and girls also put more effort into it. Girls were more exhausted, depressed and they had lower selfesteem than boys. High school students felt more stress with their career goal than vocational school students. High school students were more exhausted, but still they felt more satisfaction with their lives. In practice, to cover adolescents' personal goals is a possibility to find distressed individuals who might be in need for extra support.

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Motivation and personal goals play an important role in the ways in which people direct their behavior. Personal goals are closely connected with well-being but they also relate to how people perform in different achievement domains. Many studies show that evaluating study-related goals as important, easy to attain and non stressful, predict better academic achievements than evaluating them as non attainable and stressful (Salmela-Aro & Nurmi, 1997b). The aim of this study was to describe motivational factors among theology students. They form an interesting group in terms of exploring connections between motivation, spiritual goals and academic achievements. The average duration of graduation at the Faculty of Theology is among the highest at the University of Helsinki. On the other hand, it may be assumed that many theology students have spiritual goals which affect their studies. A special focus was paid on the different evaluations of study-related personal projects and how they are related to academic achievement. A methodology of personal projects (Little, 1983) was used to study what kind of personal goals theology students are engaged in during their studies. In the first part of the questionnaire the subjects (N=133) were asked to describe important personal projects. They were given four numbered lines for their written responses. In the second part the subjects were asked to rate projects concerning their studies according to 13 dimensions using a 7-point Likert-scale. Three subgroups were formed on a K-Means Cluster Analysis on the basis of evaluations of the study-related projects. The groups were named committed, self-fulfillers and non-committed according to their evaluations of their study related projects. Academic achievements among the different groups varied substantially. After two years of studying the students who were in the committed group had completed on an average twenty study credits more than those who were in the non-committed group. Self-fulfillers placed in the middle of the three groups. Committed and self-fulfiller students also reported higher levels of intrinsic reasons for striving towards study-related goals. The results indicate that goals reported at the beginning of studies predicted academic achievement later on. The results also showed that different evaluations of goals have long lasting connections to progress in studying. Implications for student well-being and how these results can be utilized for student counseling are discussed.

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The aim of the present research was to examine the validity of the RAND-36 measure of health-related quality of life among the working age rehabilitation clients. The research included two cross-sectional studies and one follow-up study. The subjects of the first study (n = 794) participated in the first period of the five following types of rehabilitation: occupationally oriented medical rehabilitation, musculoskeletal rehabilitation, medical rehabilitation for job burnout, rehabilitation for supporting the work ability and capacity of disabled subjects (vocational rehabilitation) and individualized rehabilitation between October 2000 and October 2001. The subjects of the second study (n = 990) participated in the same rehabilitation during their first rehabilitation period between May 2007 and May 2008. The first subjects participated in a follow-up period no later than May 2003 with the exception of the individual rehabilitation clients (n = 588). Based on the ICF classification, the RAND-36 provides a diverse measure of the health-related quality of life and of the capacity for subjective, perceived physical and psycho-social functioning. The construct properties of the RAND-36 measure proved to be very consistent on the basis of both the cluster and confirmatory factor analyses. At the group level, the RAND-36 measure was shown to be illustrative and sensitive in differentiating the clients’ rehabilitation needs. The results of cluster analyses with the two cross-sectional data indicated a consistent five-cluster solution of rehabilitation groups on the basis of the eight subscales of health-related quality of life. Each of these clusters represented a clear difference in their need for rehabilitation. The RAND-36 measure proved to be sensitive to change. The changes observed in the pre- and post-conditions in relation to all the subscales of quality of life were statistically significant. Depending on the rehabilitation type, different changes in the subscales of the measure were observed, and these changes corresponded to the different emphasis and goals of the specific type of rehabilitation intervention. Similarly, changes in the subscales of the measure were observed in relation to the RAND groups formed by cluster analysis, which were logical and corresponded to the problem profiles of these groups. The confirmatory factor analysis indicated a two-factor solution: an index of the capacity for physical functioning (self-rated general health, bodily pain, physical functioning, physical role functioning) and an index of the capacity for psycho-social functioning (psychological well-being, social functioning, psychological role functioning and energy). These two indices describing functional capacity proved also to be sensitive to change. This two-factor solution seems to be usable for group level analyses when assessing the effects of rehabilitation. The moderately strong correlation between the RAND-36 and work ability index suggests that they partly measure the same phenomenon: perceived health-related quality of life, subjective capacity for activity and perceived work ability have strong links. As expected, the capacity for physical functioning had a stronger correlation with work ability index than with the capacity for psycho-social functioning. According to the present research, the RAND-36 measure can be considered as a screening method for rehabilitation orientation in relation to rehabilitation needs and as a follow-up measure for the health-related quality of life among the working age clients. The RAND-36 measure is also shown to be a useful instrument in estimating the benefits of rehabilitation as well as in effectiveness research.

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The aim of this study was to explore the sociocultural value orientations of Finnish adolescents and their attitudes toward information society. In addition, this study explored the association between values and attitudes toward information society. I investigated whether values and attitudes follow social development and whether they can be divided into value categories such as traditional, modern and postmodern. This study falls into the category of youth research. The study uses a multimethodological approach and straddles the following disciplines: the science of education, religious education, sociology and social psychology. The theoretical context of the study is modernisation, understood as a two level process. The first level represents the transition from a religious-based traditional society to a modern industrial society. The second level of modernisation refers to the process of development established after the second world war, called postmodernisation, which is understood as the transition from an emphasis on economical imperatives to an emphasis on subjective well-being and the quality of life. Postmodernisation influences both social organisations and individuals´ values and worldviews. The target group of this survey-study comprised 408 16- to 19-year-old Finnish adolescent students from secondary school and vocational school. The data were gathered with a quantitative questionnaire during the second half of 2001. The results of the study can be generalised to the population of Finnish 16- to 19-year-olds. The data were analysed quantitatively using ANOVA and multivariate analyses such as cluster analysis, factor analysis and general linear modeling. Bayesian dependence modeling served to explore further how the values predict the attitudes toward information society. The results indicate that values are associated not only with attitudes toward information society, but with many other sociocultural indicator as well. Especially strong interpreting indicators included gender and identity or lifestyle questions. The results also indicate an association between values, attitudes and social development and a two-level modernisation process. Values formed traditional, modern and postmodern value systems. Keywords: values, attitudes, modernisation, information society, traditional, modern, postmodern

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In the beginning of the 1990s the legislation regarding the municipalities and the system of central government transfers were reformed in Finland. This resulted in a move from detailed governmental control to increased municipal autonomy. The purpose of this decentralization was to enable the municipalities to better adapt their administration and service supply to local needs. The aim of this study was to explore the effects of the increased municipal autonomy on the organization of services for people with intellectual disabilities. Did the increased autonomy cause the municipalities to alter their service supply and production and did the services become more adapted to local needs? The data consists of statistical information on service use and production, and also of background data such as demographics, economics and political elections on 452 municipalities in Finland from the years 1994 and 2000. The methods used are cluster analysis, discriminant analysis and factor analysis. The municipalities could be grouped in two categories: those which offered mainly one kind of residential services and others which had more varied mixes of services. The use of institutional care had decreased and municipalities which used institutional care as their primary form of service were mostly very small municipalities in 2000. The situation had changed from 1994, when institutional care was the primary service for municipalities of all sizes. Also the service production had become more differentiated and the municipalities had started using more varied ways of production. More municipalities had started producing their own services and private production had increased as well. Furthermore, the increase in local autonomy had opened up possibilities for local politics to influence both the service selection and methods of production. The most significant motive for changes in the service structure was high unemployment and an increasing share of elderly people in the population, particularly in sparsely populated areas. Municipalities with a low level of resources had made more changes in their service organization while those with more resources had been able to carry on as before. Key words: service structure, service for people with intellectual disabilities, municipalities, contingency theory, New Public Management

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This dissertation empirically explores the relations among three theoretical perspectives: university students approaches to learning, self-regulated learning, as well as cognitive and attributional strategies. The relations were quantitatively studied from both variable- and person-centered perspectives. In addition, the meaning that students gave to their disciplinary choices was examined. The general research questions of the study were: 1) What kinds of relationships exist among approaches to learning, regulation of learning, and cognitive and attributional strategies? What kinds of cognitive-motivational profiles can be identified among university students, and how are such profiles related to study success and well-being? 3) How do university students explain their disciplinary choices? Four empirical studies addressed these questions. Studies I, II, and III were quantitative, applying self-report questionnaires, and Study IV was qualitative in nature. Study I explored relations among cognitive strategies, approaches to learning, regulation of learning, and study success by using correlations and a K-means cluster analysis. The participants were 366 students from various faculties at different phases of their studies. The results showed that all the measured constructs were logically related to each other in both variable- and person-centered approaches. Study II further examined what kinds of cognitive-motivational profiles could be identified among first-year university students (n=436) in arts, law, and agriculture and forestry. Differences in terms of study success, exhaustion, and stress among students with differing profiles were also looked at. By using a latent class cluster analysis (LCCA), three groups of students were identified: non-academic (34%), self-directed (35%), and helpless students (31%). Helpless students reported the highest levels of stress and exhaustion. Self-directed students received the highest grades. In Study III, cognitive-motivational profiles were identified among novice teacher students (n=213) using LCCA. Well-being, epistemological beliefs, and study success were looked at in relation to the profiles. Three groups of students were found: non-regulating (50%), self-directed (35%), and non-reflective (22%). Self-directed students again received the best grades. Non-regulating students reported the highest levels of stress and exhaustion, the lowest level of interest, and showed the strongest preference for certain and practical knowledge. Study IV, which was qualitative in nature, explored how first-year students (n = 536 ) in three fields of studies, arts, law, and veterinary medicine explained their disciplinary choices. Content analyses showed that interest appeared to be a common concept in students description of their choices across the three faculties. However, the objects of interest of the freshmen appeared rather unspecified. Veterinary medicine and law students most often referred to future work or a profession, whereas only one-fifth of the arts students did so. The dissertation showed that combining different theoretical perspectives and methodologies enabled us to build a rich picture of university students cognitive and motivational predispositions towards studying and learning. Further, cognitive-emotional aspects played a significant role in studying, not only in relation to study success, but also in terms of well-being. Keywords: approaches to learning, self-regulation, cognitive and attributional strategies, university students

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FTIR-spektroskopia (Fourier-muunnosinfrapunaspektroskopia) on nopea analyysimenetelmä. Fourier-laitteissa interferometrin käyttäminen mahdollistaa koko infrapunataajuusalueen mittaamisen muutamassa sekunnissa. ATR-liitännäisellä varustetun FTIR-spektrometrin käyttö ei edellytä juuri näytteen valmistusta ja siksi menetelmä on käytössä myös helppo. ATR-liitännäinen mahdollistaa myös monien erilaisten näytteiden analysoinnin. Infrapunaspektrin mittaaminen onnistuu myös sellaisista näytteistä, joille perinteisiä näytteenvalmistusmenetelmiä ei voida käyttää. FTIR-spektroskopian avulla saatu tieto yhdistetään usein tilastollisiin monimuuttuja-analyyseihin. Klusterianalyysin avulla voidaan spektreistä saatu tieto ryhmitellä samanlaisuuteen perustuen. Hierarkkisessa klusterianalyysissa objektien välinen samanlaisuus määritetään laskemalla niiden välinen etäisyys. Pääkomponenttianalyysin avulla vähennetään datan ulotteisuutta ja luodaan uusia korreloimattomia pääkomponentteja. Pääkomponenttien tulee säilyttää mahdollisimman suuri määrä alkuperäisen datan variaatiosta. FTIR-spektroskopian ja monimuuttujamenetelmien sovellusmahdollisuuksia on tutkittu paljon. Elintarviketeollisuudessa sen soveltuvuutta esimerkiksi laadun valvontaan on tutkittu. Menetelmää on käytetty myös haihtuvien öljyjen kemiallisten koostumusten tunnistukseen sekä öljykasvien kemotyyppien havaitsemiseen. Tässä tutkimuksessa arvioitiin menetelmän käyttöä suoputken uutenäytteiden luokittelussa. Tutkimuksessa suoputken eri kasvinosien uutenäytteiden FTIR-spektrejä vertailtiin valikoiduista puhdasaineista mitattuihin FTIR-spektreihin. Puhdasaineiden FTIR-spektreistä tunnistettiin niiden tyypilliset absorptiovyöhykkeet. Furanokumariinien spektrien intensiivisten vyöhykkeiden aaltolukualueet valittiin monimuuttuja-analyyseihin. Monimuuttuja-analyysit tehtiin myös IR-spektrin sormenjälkialueelta aaltolukualueelta 1785-725 cm-1. Uutenäytteitä pyrittiin luokittelemaan niiden keräyspaikan ja kumariinipitoisuuden mukaan. Keräyspaikan mukaan ryhmittymistä oli havaittavissa, mikä selittyi vyöhykkeiden aaltolukualueiden mukaan tehdyissä analyyseissa pääosin kumariinipitoisuuksilla. Näissä analyyseissa uutenäytteet pääosin ryhmittyivät ja erottuivat kokonaiskumariinipitoisuuksien mukaan. Myös aaltolukualueen 1785-725 cm-1 analyyseissa havaittiin keräyspaikan mukaan ryhmittymistä, mitä kumariinipitoisuudet eivät kuitenkaan selittäneet. Näihin ryhmittymisiin vaikuttivat mahdollisesti muiden yhdisteiden samanlaiset pitoisuudet näytteissä. Analyyseissa käytettiin myös muita aaltolukualueita, mutta tulokset eivät juuri poikenneet aiemmista. 2. kertaluvun derivaattaspektrien monimuuttuja-analyysit sormenjälkialueelta eivät myöskään muuttaneet tuloksia havaittavasti. Jatkotutkimuksissa nyt käytettyä menetelmää on mahdollista edelleen kehittää esimerkiksi tutkimalla monimuuttuja-analyyseissa 2. kertaluvun derivaattaspektreistä suppeampia, tarkkaan valittuja aaltolukualueita.

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Previous studies indicate that positive learning experiences are related to academic achievement as well as to well-being. On the other hand, emotional and motivational problems in studying may pose a risk for both academic achievement and well-being. Thus, emotions and motivation have an increasing role in explaining university students learning and studying. The relations between emotions, motivation, study success and well-being have been less frequently studied. The aim of this study was to investigate what kind of academic emotions, motivational factors and problems in studying students experienced five days before an exam of an activating lecture course, and the relations among these factors as well as their relation to self-study time and study success. Furthermore, the effect of all these factors on well-being, flow experience and academic achievement was examined. The term academic emotion was defined as emotion experienced in academic settings and related to studying. In the present study the theoretical background to motivational factors was based on thinking strategies and attributions, flow experience and task value. Problems in studying were measured in terms of exhaustion, anxiety, stress, lack of interest, lack of self-regulation and procrastination. The data were collected in December 2009 in an activating educational psychology lecture course by using a questionnaire. The participants (n=107) were class and kindergarten teacher students from the University of Helsinki. Most of them were first year students. The course grades were also gathered. Correlations and stepwise regression analysis were carried out to find out the factors that were related to or explained study success. The clusters that presented students´ problems in studying as well as thinking strategies and attributions, were found through hierarchical cluster analysis. K-means cluster analysis was used to form the final groups. One-way analysis of variance, Kruskal-Wallis test and crosstabs were conducted to see whether the students in different clusters varied in terms of study success, academic emotions, task value, flow, and background variables. The results indicated that academic emotions measured five days before the exam explained about 30 % of the variance of the course grade; exhaustion and interest positively, and anxiety negatively. In addition, interest as well as the self-study time best explained study success on the course. The participants were classified into three clusters according to their problems in studying as well as their thinking strategies and attributions: 1) ill-being, 2) carefree, and 3) committed and optimistic students. Ill-being students reported most negative emotions, achieved the worst grades, experienced anxiety rather than flow and were also the youngest. Carefree students, on the other hand, expressed the least negative emotions and spent the least time on self-studying, and like committed students, experienced flow. In addition, committed students reported positive emotions the most often and achieved the best grades on the course. In the future, more in-depth understanding how and why especially young first year students experience their studying hard is needed, because early state of the studies is shown to predict later study success.

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The methods of secondary wood processing are assumed to evolve over time and to affect the requirements set for the wood material and its suppliers. The study aimed at analysing the industrial operating modes applied by joinery and furniture manufacturers as sawnwood users. Industrial operating mode was defined as a pattern of important decisions and actions taken by a company which describes the company's level of adjustment in the late-industrial transition. A non-probabilistic sample of 127 companies was interviewed, including companies from Denmark, Germany, the Netherlands, and Finland. Fifty-two of the firms were furniture manufacturers and the other 75 were producing windows and doors. Variables related to business philosophy, production operations, and supplier choice criteria were measured and used as a basis for a customer typology; variables related to wood usage and perceived sawmill performance were measured to be used to profile the customer types. Factor analysis was used to determine the latent dimensions of industrial operating mode. Canonical correlations analysis was applied in developing the final base for classifying the observations. Non-hierarchical cluster analysis was employed to build a five-group typology of secondary wood processing firms; these ranged from traditional mass producers to late-industrial flexible manufacturers. There is a clear connection between the amount of late-industrial elements in a company and the share of special and customised sawnwood it uses. Those joinery or furniture manufacturers that are more late-industrial also are likely to use more component-type wood material and to appreciate customer-oriented technical precision. The results show that the change is towards the use of late-industrial sawnwood materials and late-industrial supplier relationships.