Feature selection for automatic analysis of emotional response based on nonlinear speech modeling suitable for diagnosis of Alzheimer׳s disease

Alzheimer׳s disease (AD) is the most common type of dementia among the elderly. This work is part of a larger study that aims to identify novel technologies and biomarkers or features for the early detection of AD and its degree of severity. The diagnosis is made by analyzing several biomarkers and conducting a variety of tests (although only a post-mortem examination of the patients’ brain tissue is considered to provide definitive confirmation). Non-invasive intelligent diagnosis techniques would be a very valuable diagnostic aid. This paper concerns the Automatic Analysis of Emotional Response (AAER) in spontaneous speech based on classical and new emotional speech features: Emotional Temperature (ET) and fractal dimension (FD). This is a pre-clinical study aiming to validate tests and biomarkers for future diagnostic use. The method has the great advantage of being non-invasive, low cost, and without any side effects. The AAER shows very promising results for the definition of features useful in the early diagnosis of AD.

Unsupervised visual object categorization

The number of digital images has been increasing exponentially in the last few years. People have problems managing their image collections and finding a specific image. An automatic image categorization system could help them to manage images and find specific images. In this thesis, an unsupervised visual object categorization system was implemented to categorize a set of unknown images. The system is unsupervised, and hence, it does not need known images to train the system which needs to be manually obtained. Therefore, the number of possible categories and images can be huge. The system implemented in the thesis extracts local features from the images. These local features are used to build a codebook. The local features and the codebook are then used to generate a feature vector for an image. Images are categorized based on the feature vectors. The system is able to categorize any given set of images based on the visual appearance of the images. Images that have similar image regions are grouped together in the same category. Thus, for example, images which contain cars are assigned to the same cluster. The unsupervised visual object categorization system can be used in many situations, e.g., in an Internet search engine. The system can categorize images for a user, and the user can then easily find a specific type of image.

Viewpoint-Based Ambient Occlusion

We've developed a new ambient occlusion technique based on an information-theoretic framework. Essentially, our method computes a weighted visibility from each object polygon to all viewpoints; we then use these visibility values to obtain the information associated with each polygon. So, just as a viewpoint has information about the model's polygons, the polygons gather information on the viewpoints. We therefore have two measures associated with an information channel defined by the set of viewpoints as input and the object's polygons as output, or vice versa. From this polygonal information, we obtain an occlusion map that serves as a classic ambient occlusion technique. Our approach also offers additional applications, including an importance-based viewpoint-selection guide, and a means of enhancing object features and producing nonphotorealistic object visualizations

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.

Cartilage Appearance Using an Environmental Scanning Electron Microscope.

Because of technical principles, samples to be observed with electron microscopy need to be fixed in a chemical process and exposed to vacuum conditions that can produce some changes in the morphology of the specimen. The aim of this work was to obtain high-resolution images of the fresh articular cartilage surface with an environmental scanning electron microscope (ESEM), which is an instrument that permits examination of biological specimens without fixation methods in a 10 Torr chamber pressure, thus minimizing the risk of creating artifacts in the structure. Samples from weight-bearing areas of femoral condyles of New Zealand white rabbits were collected and photographed using an ESEM. Images were analyzed using a categorization based in the Jurvelin classification system modified by Hong and Henderson. Appearance of the observed elevations and depressions as described in the classification were observed, but no fractures or splits of cartilage surface, thought to be artifacts, were detected. The ESEM is a useful tool to obtain images of fresh articular cartilage surface appearance without either employing fixation methods or exposing the specimen to extreme vacuum conditions, reducing the risk of introducing artifacts within the specimen. For all these reasons it could become a useful tool for quality control of the preservation process of osteochondral allografting in a bank of musculoskeletal tissues.

Luottamuksen ilmeneminen alueellisissa yhteistyöverkostoissa

Appearance of trust in regional, co-operative networks In our times, the value of social networks has been widely acknowledged. One can say that it is important for private persons to get networked, whilst it is even a must for companies and organizations in business life. This doctor's thesis examines three co-operative regional networks. Networks are located in Western Uusimaa (Länsi-Uusimaa) region in southernmost Finland, and they had both public organizations and private companies as participants (later called ‘players’). Initially, all of them were co-financed from public funds, and two of them are still operational while writing this. The main target of these networks has been to act as learning networks. The learning network stands for an ensemble of research and development units and workplaces constituting a common forum for learning. The main focus in this study has been on qualitative and structural characteristics of the networks, and how they are relating with intrinsic trust. In addition to the development of trust, it has been studied, at what level organizational learning within the networks takes place, and lastly, what kind of factors facilitate the development of social capital. The theoretical framework for the study is built on analysing trust and social capital. It is a 'mission impossible' to find single definitions for such major concepts. In this study, from the research questions' point of view it has been more relevant to concentrate on the aspects of networking and the relationships between the participating organizations. The total view in this study is very network-centric, and therefore those theories which have similar point of view have been prioritized. Such is the theory about structural holes by Ronald S. Burt (1992). It has been widely applied; especially his views on constraints affecting players in networks. The purpose of this study has not been to create new theories or to analyse and compare thoroughly the existing theoretical trends. Instead, the existing theories have provided the study with conceptual tools, which have been utilized for supporting the empirical results. The aim has been to create an explanatory case study consisting relevant discussion on the relationship between the network characteristics and the appearance of trust. The conceptual categorization for confidence vs. trust created by Niklas Luhmann (1979) is another important theoretical building block. In most cases, co-operation in networks is initiated by people already trusting in each other and willing to work together. However, personal trust is not sufficient in the long run to sustain the co-operation within the network: more abstract systemic trust described by Luhmann must also emerge. In the networks with different structures and at different development phases, these forms of trust appear at different levels. In this study, Luhmann’s systemic trust as a term has been replaced by the concept of 'trust in network as a system'. Structural characteristics of a network (density, centrality, structural holes etc.) have been selected to explain the creation of social capital and trust. The ability to adapt new information is essential for the development of social capital. Qualitative analysis for development phase has been used, and the Learning Network Maturity Test by Leenamaija Otala (2000) and her work have been applied. Thus, the qualitative characteristics and the structural characteristics of the networks are utilized together, when the creation of social capital and appearance of trust are assessed. Social Network Analysis, questionnaires and interviews have been the research methods. Quantitative and qualitative data have been combined. There is a similarity in viewpoints to research data with Extensive Case Study method, in which different cases are searched by exploring various cases and comparing certain common features between them and generic models. Development of trust, social capital and organizational learning has been explained in the study by comparing the networks in hand. Being a case study, it doesn't have targets to provide with general results and findings like conventional surveys. However, in this work phenomena and mechanisms related to them are interpreted from the empirical data. Key finding of this study is that the networks with high structural equality and clear target setting enable building trust to the network as a system. When systemic trust is present, e.g. changes in personnel involved in the co-operation won't hinder the network from remaining operational. On the other hand, if the players are not well motivated to co-operate, if the network is extremely centralized structurally, or if the network has players holding very much more beneficial position compared to the others, systemic trust won't develop: trust tends to remain at the personal level, and is directed to some players only. Such networks won't generate results and benefits to its players, and most probably they won’t live very long. In other words, learning networks cannot solely be based on willingness to learn, but also on willingness to co-operate.

Usability Centered Implementation of a Web Based Value Added Module

Customer specific functionalities are a challenging part of procurement and invoice automation environments. In Basware Enterprise Purchase to Payment product family the customer specific reports are supported only in a basic level without any seamless interface between all EPP products. Also other customer specific functionalities are not supported as there is no customizable interface between the applications and only the most common features are implemented to the products themselves. In this thesis foundations are created for a new web based value added module where it is possible to create seamless customer specific functionalities throughout the whole EPP product family. The work is implemented in a Proof of Concept type of piloting. The system is created in user centered way where the users are able to explain their requests and determine their needs. The result is an excellent foundation for a module that can be developed further.

Pulsatile Blood Flow Simulations in Computed Tomography(CT) Scan-Based and Idealized Geometries of Human Aorta

Blood flow in human aorta is an unsteady and complex phenomenon. The complex patterns are related to the geometrical features like curvature, bends, and branching and pulsatile nature of flow from left ventricle of heart. The aim of this work was to understand the effect of aorta geometry on the flow dynamics. To achieve this, 3D realistic and idealized models of descending aorta were reconstructed from Computed Tomography (CT) images of a female patient. The geometries were reconstructed using medical image processing code. The blood flow in aorta was assumed to be laminar and incompressible and the blood was assumed to be Newtonian fluid. A time dependent pulsatile and parabolic boundary condition was deployed at inlet. Steady and unsteady blood flow simulations were performed in real and idealized geometries of descending aorta using a Finite Volume Method (FVM) code. Analysis of Wall Shear Stress (WSS) distribution, pressure distribution, and axial velocity profiles were carried out in both geometries at steady and unsteady state conditions. The results obtained in thesis work reveal that the idealization of geometry underestimates the values of WSS especially near the region with sudden change of diameter. However, the resultant pressure and velocity in idealized geometry are close to those in real geometry

Studies on 68Ga-Based Agents for PET Imaging of Cancer and Inflammation

Studies on ⁶⁸Ga-Based Agents for PET Imaging of Cancer and Inflammation Positron emission tomography (PET) is based on the use of radiolabeled agents and facilitates in vivo imaging of biological processes, such as cancer. Because the detection of cancer is demanding and is often obscured by inflammation, there is a demand for better PET imaging agents. The aim was to preliminarily evaluate new PET agents for imaging cancer and inflammation using experimental models. ⁶⁸Ga-chloride and peptides, ⁶⁸Ga-labeled through 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid (DOTA), targeting matrix metalloproteinase-9 (MMP-9) were tested for tumor imaging. In addition, a ⁶⁸Ga-DOTA-conjugated peptide targeting vascular adhesion protein-1 (VAP-1), was tested for inflammation imaging. The ⁶⁸Ga-based imaging agents described here showed potential features by passing the essential in vitro tests, proceeding further to preclinical in vivo evaluation and being able to visualize the target. The target uptake and target-to-background ratios of ⁶⁸Ga-based agents were, however, not optimal. ⁶⁸Ga-chloride showed slow clearance caused by its binding to blood transferrin. In the case of ⁶⁸Ga-DOTA-peptides low in vivo stability and/or low lipophilicity led to too rapid blood clearance and urinary excretion. The properties of ⁶⁸Ga-labeled peptides are modifiable, as shown with matrix metalloproteinase-9 targeting ligands. In the conclusion of this PhD thesis, ⁶⁸Ga-based agents for PET imaging of cancer and inflammation could be applied in the development of drugs, earlier diagnostics and following-up of the efficacy of therapies.

Bag-of-Features Approach to Unsupervised Visual Object Categorisation

The large and growing number of digital images is making manual image search laborious. Only a fraction of the images contain metadata that can be used to search for a particular type of image. Thus, the main research question of this thesis is whether it is possible to learn visual object categories directly from images. Computers process images as long lists of pixels that do not have a clear connection to high-level semantics which could be used in the image search. There are various methods introduced in the literature to extract low-level image features and also approaches to connect these low-level features with high-level semantics. One of these approaches is called Bag-of-Features which is studied in the thesis. In the Bag-of-Features approach, the images are described using a visual codebook. The codebook is built from the descriptions of the image patches using clustering. The images are described by matching descriptions of image patches with the visual codebook and computing the number of matches for each code. In this thesis, unsupervised visual object categorisation using the Bag-of-Features approach is studied. The goal is to find groups of similar images, e.g., images that contain an object from the same category. The standard Bag-of-Features approach is improved by using spatial information and visual saliency. It was found that the performance of the visual object categorisation can be improved by using spatial information of local features to verify the matches. However, this process is computationally heavy, and thus, the number of images must be limited in the spatial matching, for example, by using the Bag-of-Features method as in this study. Different approaches for saliency detection are studied and a new method based on the Hessian-Affine local feature detector is proposed. The new method achieves comparable results with current state-of-the-art. The visual object categorisation performance was improved by using foreground segmentation based on saliency information, especially when the background could be considered as clutter.

Mitochondrial disease in Southwestern Finland. Population-based molecular genetic and clinical studies

Mitochondria are present in all eukaryotic cells. They enable these cells utilize oxygen in the production of adenosine triphosphate in the oxidative phosphorylation system, the mitochondrial respiratory chain. The concept ‘mitochondrial disease’ conventionally refers to disorders of the respiratory chain that lead to oxidative phosphorylation defect. Mitochondrial disease in humans can present at any age, and practically in any organ system. Mitochondrial disease can be inherited in maternal, autosomal dominant, autosomal recessive, or X-chromosomal fashion. One of the most common molecular etiologies of mitochondrial disease in population is the m.3243A>G mutation in the MT-TL1 gene, encoding mitochondrial tRNALeu(UUR). Clinical evaluation of patients with m.3243A>G has revealed various typical clinical features, such as stroke-like episodes, diabetes mellitus and sensorineural hearing loss. The prevalence and clinical characteristics of mitochondrial disease in population are not well known. This thesis consists of a series of studies, in which the prevalence and characteristics of mitochondrial disease in the adult population of Southwestern Finland were assessed. Mitochondrial haplogroup Uk was associated with increased risk of occipital ischemic stroke among young women. Large-scale mitochondrial DNA deletions and mutations of the POLG1 gene were the most common molecular etiologies of progressive external ophthalmoplegia. Around 1% of diabetes mellitus emerging between the ages 18 – 45 years was associated with the m.3243A>G mutation. Moreover, among these young diabetic patients, mitochondrial haplogroup U was associated with maternal family history of diabetes. These studies demonstrate the usefulness of carefully planned molecular epidemiological investigations in the study of mitochondrial disorders.

Suomen Ilmavoimien johtamisjärjestelmän evoluutio ilmasotateorian, kansallisten instituutioiden ja johtamisjärjestelmän ulkomaisen kehityksen näkökulmasta

Ilmavoimien johtamisjärjestelmä on osa Ilmavoimien järjestelmäkokonaisuutta, jonka kaksi muuta osaa ovat taistelujärjestelmä ja tukeutumisjärjestelmä. Ilmavoimien materiaalista suorituskykyä rakennetaan tämän järjestelmäajattelun pohjalta. tässä tutkimuksessa Ilmavoimien johtamisjärjestelmää tutkitaan kolmen kokonaisuuden, ilmavalvontajärjestelmän, ilmatilannekuvan muodostamisjärjestelmän ja tulenkäytön johtamisjärjestelmän, näkökulmasta. Ilmavoimien johtamisjärjestelmän laajuuden vuoksi tutkimusaluetta on jouduttu rajaamaan. Tutkimus perustuu evoluutioparadigmaan, jonka mukaisesti kaikki olevainen on evolutionaarista. Mikään tässä ajassa oleva ilmiö ei ole historiaton. Jokaisella ilmiöllä on nykyisyytensä lisäksi historia ja tulevaisuus. Evoluutioparadigman avulla laajennetaan Ilmavoimien johtamisjärjestelmän nykyisyyden ymmärtämistä kuvaamalla ja analysoimalla sen evoluutiota. Tutkimusaineistoa analysoidaan käyttäen hyväksi polkuriippuvuutta evolutionaarisena mallina. tätä mallia on käytetty uusinstitutionaalisessa ja evolutionaarisessa taloustieteessä ja taloushistoriassa tutkittaessa yritysten, toimialojen tai tuotteiden pysyvyyttä markkinoilla sekä erilaisten innovaatioiden vaikuttavuutta menestymiseen eri markkinatilanteissa. Tutkimusasetelman lähtökohtana on Ilmavoimien johtamisjärjestelmäevoluution kuvaaminen kolmen tekijän tasapainoasetelman suhteen, joita ovat instituutiot, ilmasotateoria ja kansainvälinen ilmavoimien johtamisjärjestelmän kehitys. tutkimuksen tavoitteena on löytää institutionaalinen logiikka Ilmavoimien johtamisjärjestelmän evoluutiolle sekä sen eri kehitysprosesseihin liittyvä mahdollinen polkuriippuvuuden logiikka. Tutkittavina instituutioina ovat kansallinen poliittinen päätöksenteko, joka ilmentyy erilaisina komiteamietintöjä, raportteina ja selontekoina. Sotilaallista instituutiota edustavat eri operatiiviset ohjeet, ohjesäännöt ja doktriinit, jotka ovat ohjanneet johtamisjärjestelmäkehitystä. Ilmasotateorian vaikuttavuuden analyysiä varten tutkimuskohteiksi on valittu seitsemän merkittävää ilmasotateoreetikkoa. Kenraalimajuri Giulio douhet, ilmamarsalkka Hugh Trenchard ja kenraalimajuri William Mitchell edustavat ilmasotateorian varhaista kautta. Kansallista ilmasotateorian kehitystä edustavat eversti Richard Lorentz ja kenraalimajuri Gustaf Erik Magnusson. Yhdysvaltalaiset everstit John Boyd ja John Warden III ovat uuden ajan ilmasotateoreetikkoja. Näiden henkilöiden tuottamien teorioiden avulla voidaan piirtää kuva muutoksesta, jota ilmasodankäynnin teoreetti- sessa ajattelussa on tapahtunut. Ilmavoimien johtamisjärjestelmän evoluutiolle haetaan vertailua kehityksestä, jota on tapahtunut Yhdysvalloissa, Isossa-Britanniassa ja Saksassa. Ilmavoimat on saanut vaikutteita muistakin maista, mutta näiden maiden kehityksen avulla voidaan selittää Suomessa tapahtunutta kehitystä. Tutkimuksessa osoitetaan, että kansainvälisellä johtamisjärjestelmäevoluutiolla on ollut merkittävä vaikutus suomalaiseen kehitykseen. Tämä tutkimus laajentaa prosessuaalista tutkimusteoriaa ja polkuriippuvuusmallin käyttöä sotatieteelliseen tutkimuskenttään. tutkimus yhdistää toisiinsa aivan uudella tavalla sotilasorganisaation institutionaalisia tekijöitä pitkässä evoluutioketjussa. Tutkimus luo pohjaa prosessuaaliseen, havaintoihin perustuvaan evoluutioajatteluun, jossa eri tekijöiden selitysmalleja ja kausaalisuutta eri periodien aikana voidaan kuvata. Tutkimuksen tuloksena ilmavoimien johtamisjärjestelmäevoluutiossa paljastui merkittäviä piirteitä. Teknologia on ollut voimakas katalysaattori ilmapuolustuksen evoluutiossa. Uusien teknologisten innovaatioiden ilmestyminen taistelukentälle on muuttanut oleellisesti taistelun kuvaa. Sodankäynnin revoluutiosta huolimatta sodankäynnin tai operaatiotaidon ja taktiikan perusperiaatteissa ei ole tapahtunut perustavanlaatuista muutosta. Ilmavoimien johtamisjärjestelmän kehitys on voimakkaasti linkittynyt ulkomaiseen johtamisjärjestelmäkehitykseen, jossa teknologiaimplementaatiot perustuvat usean eri ilmiön paljastumiseen ja hyväksikäyttöön. Sotilas- ja siviili-instituutiot ovat merkittävästi vaikuttaneet Ilmavoimien johtamisjärjestelmän kansalliseen kehitykseen. Ne ovat antaneet poliittisen ohjauksen, taloudellisten resurssien ja strategis-operatiivisten käskyjen ja suunnitelmien avulla perusteet, joiden pohjalta johtamisjärjestelmää on kehitetty. Tutkimus osoittaa, että Suomen taloudellisten resurssien rajallisuus on ollut merkittävin institutionaalinen rajoite Ilmavoimien johtamisjärjestelmää kehitettäessä. Useat poliittiset ohjausasiakirjat ovat korostaneet, ettei Suomella pienenä kansakuntana ole taloudellisia resursseja seurata kansainvälistä sotilasteknologiakehitystä. Lisäksi ulko- ja turvallisuuspoliittinen liikkumavapaus on vaikuttanut kehittämismahdollisuuksiin. Ilmasotateorian evoluutio on luonut johtamisjärjestelmän kehitykselle välttämättömän konseptuaalisen viitekehyksen, jotta ilmasota on voitu viedä käytännön tasolle. Teoria, doktriini ja instituutiot toimivat vuorovaikutuksessa, jossa ne interaktiivisesti vaikuttavat toinen toisiinsa. Tutkimus paljasti kuusi merkittävää sokkia, jotka saivat aikaan radikaaleja muutoksia johtamisjärjestelmän evoluutiopolulla. tutkimuksen perusteella vaikuttavimmat muutoksia aiheuttavat sokit olivat radikaalit turvallisuuspoliittiset muutokset kuten sota ja voimakkaat kansantalouden muutokset kuten lama. Sokkeja aiheuttaneet kuusi ajankohtaa olivat: 1. Puolustusvoimien rakentamisen aloittaminen vapaussodan jälkeen 1918 2. Maailmanlaajuinen lama 1929–1933 ja eurooppalainen rauhanaate 1928–1933 3. Talvi- ja jatkosota 1939–1944 4. Uusi alku Pariisin rauhansopimuksen 1947 ja YYA-sopimuksen 1948 varjossa 5. Kylmän sodan päättyminen ja Suomen lama 1990–1993 6. Maailmanlaajuinen lama 2008- Tutkimuksen perusteella voidaan todeta, että Suomen ilmavoimien johtamisjärjestelmän kehittäminen on perustunut rationaalisiin päätöksiin, jotka ovat saaneet vaikutteita ulkomaisesta ilmasotateorian ja -doktriinien kehityksestä sekä kansainvälisestä johtamisjärjestelmäkehityksestä. Johtamisjärjestelmän evoluutioon on vaikuttanut globaali konvergenssi, johon on tehty kansallisen tason ratkaisuja järjestelmien adaptaation ja implementaation yhteydessä.

Effects of Socioeconomic Status and Sociodemographic Features on Cardiovascular Disease. Mortality and Morbidity in Finland

Despite declining trends in morbidity and mortality, cardiovascular diseases have a considerable impact on Finnish public health. A goal in Finnish health policy is to reduce inequalities in health and mortality among population groups. The aim of this study was to assess inequalities in cardiovascular diseases according to socioeconomic status (SES), language groups and other sociodemographic characteristics. The main data source was generated from events in 35-99 year-old men and women registered in the population-based FINMONICA and FINAMI myocardial infarction registers during the years ranging from 1988-2002. Information on population group characteristics was obtained from Statistics Finland. Additional data were derived from the FINMONICA and FINSTROKE stroke registers and the FINRISK Study. SES, measured by income level, was a major determinant of acute coronary syndrome (ACS) mortality. Among middle-aged men, the 28-day mortality rate of the lowest group of six income groups was 5.2 times and incidence 2.7 times as high when compared to the highest income group. Among women, the differences were even larger. Among the unmarried, the incidence of ACS was approximately 1.6 times as high and their prognosis was significantly worse than among married persons - both in men and women and independent of age. Higher age-standardized attack rates of ACS and stroke were found among Finnish-speaking compared to Swedish-speaking men in Turku and these differences could not be completely explained by SES. In these language groups, modest differences were found in traditional risk factor levels possibly explaining part of the found morbidity and mortality inequality. In conclusion, there are considerable differences in the morbidity and mortality of ACS and stroke between socioeconomic and sociodemographic groups, in Finland. Focusing measures to reduce the excess morbidity and mortality, in groups at high risk, could decrease the economic burden of cardiovascular diseases and thus be an important public health goal in Finland.

Strategic Innovation Management Based on Three Dimensions

This thesis examines innovation development needs of firms in a remote rural region. The perspective of the study is in strategic innovation management and three dimensions of innovation development: innovation environment, value delivery and innovation capability. The framework is studied with a theoretical and methodological approach in the context of the development of a regional innovation system and the defining of innovation development needs. The thesis is based on existing innovation management literature, expanding it by examining the features of the three dimensions. The empirical data of the study comprise 50 purposefully selected firms within the region of Pielinen Karelia located in Eastern Finland. Most of the firms (70%) included in the study represent manufacturing firms, and over 90% are small and medium-sized enterprises. The research data consist of two questionnaires and an interview, which were done during 2011 in the connection of a regional development project. The point of view of the research is in regional development and harnessing the innovation capability of the firms within the region. The principal research approach applies soft systems methodology. The study explores the means to foster the innovativeness of firms from the viewpoints of innovation environment, innovation capability and value delivery. In closer detail, the study examines relations between the innovation capability factors, differences in innovation development needs within the value delivery system, between sectors and between firm size categories. The thesis offers three major contributions. First, the study extends earlier research on strategic innovation management by connecting the frameworks of innovation capability, innovation environment and value delivery process to the defining of innovation development needs at the regional level. The results deepen knowledge especially concerning practice-based innovation, peripheral regions and smaller firms. Second, the empirical work, based on a case study, confirms the existence of a structural connection integrating five factors of innovation capability. Statistical evidence is provided especially for the positive impacts of the improvement of absorption capability, marketing capability and networking capability, which are the main weaknesses of firms according to the study. Third, the research provides a methodological contribution by applying the innovation matrix in the defining of the innovation development needs of firms. The study demonstrates how the matrix improves possibility to target policy instruments and innovation services more efficiently through indicating significant differences between the innovation support needs regarding various time horizons and phases of innovation process.

Eimeria spp. from Japanese quails (Coturnix japonica): new characteristic features and diagnostic tools

The Japanese quail Coturnix japonica originated from North Africa, Europe and Asia, is used worldwide as an experimental animal and model for aviculture. The current paper characterizes Eimeria bateri, Eimeria tsunodai and Eimeria uzura recovered from C. japonica. Based on the fact that quails have a global distribution, as are their coccidia, the findings of this study should provide the means for diagnosis of those Eimeria spp. in other regions and continents. Eimeria bateri showed the greatest intensity of infection and shed oocysts from the fourth day after infection; in contrast, E. tsunodai and E. uzura shed oocysts from the fifth day after infection. The three species shared a high degree of similarity and were all polymorphic. Yet, the application of line regressions, histograms and ANOVA provided means for the identification of these species. Finally, the algorithm was very efficient since verified that resultant values were not superimposed.