Biological interpretation of genome-wide association studies using predicted gene functions.

The main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present DEPICT, an integrative tool that employs predicted gene functions to systematically prioritize the most likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell types where genes from associated loci are highly expressed. DEPICT is not limited to genes with established functions and prioritizes relevant gene sets for many phenotypes.

Implementing Role Based Access Control into the Enterprise Environment to Support Business and IT Functions

The thesis studies role based access control and its suitability in the enterprise environment. The aim is to research how extensively role based access control can be implemented in the case organization and how it support organization’s business and IT functions. This study points out the enterprise’s needs for access control, factors of access control in the enterprise environment and requirements for implementation and the benefits and challenges it brings along. To find the scope how extensively role based access control can be implemented into the case organization, firstly is examined the actual state of access control. Secondly is defined a rudimentary desired state (how things should be) and thirdly completed it by using the results of the implementation of role based access control application. The study results the role model for case organization unit, and the building blocks and the framework for the organization wide implementation. Ultimate value for organization is delivered by facilitating the normal operations of the organization whilst protecting its information assets.

New kernel functions and learning methods for text and data mining

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

Sähköisten kuljetustietojen vaikutukset päivittäistavarakaupan pitkässä arvoketjussa

Tutkielman tavoitteena on esittää kustannustehokkaita tapoja lähetystoimintojen ja kuljetustietojen käsittelyyn päivittäistavarakaupan logistiikkakeskuksessa. Tutkielmassa kuvataan case-yrityksen lähettämö- ja kuljetustoimintojen sekä lähtevän tavaravirran seurannan ja rahtilaskutuksen nykytilanne. Tutkimusmenetelmänä on käytetty case-yrityksen avainhenkilöiden teemahaastatteluja sekä erillistä haastattelututkimusta kahdeksalle suurimmalle case-yrityksen käyttämälle kuljetusliikkeelle. Työssä esitellään keskeisimpien kuljetustietojen ja lähettämötoimintojen sähköistämisen edellytyksiä sekä niiden toteutusmahdollisuuksia. Koska lähtevän tavaravirran käsittely manuaalisesti aiheuttaa ylimääräisiä virheitä ja tehottomuutta pitkän arvoketjun eri vaiheissa työllistäen lähettämön, kuljetusliikkeiden, terminaalien ja myymälöiden työntekijöitä, on tutkielmassa esitelty keskeisimmät keinot tehostaa ja automatisoida lähtevien kuljetusyksiköiden käsittelyä. Ratkaisut pohjautuvat lähtevien kuljetusyksiköiden yksilöintiin ja seurantaan. Yksiköiden käsittelyä tehostetaan automatisoimalla yksiköiden tunnistamista ja tiedonsiirtoa. Käytettäviksi työkaluiksi on valittu viivakoodit ja tarvittavat lukijat yksiköiden tunnistamiseen. Sähköisellä rahtikirjalla pyritään paperittomaan lähettämötoimintaan ja sitä kautta automatisoimaan rahtilaskutusta ottamalla käyttöön laskuton maksu. Kuljetustietojen sähköistämisellä voidaan saavuttaa mittavat kustannussäästöt pitkässä arvoketjussa.

Bone Mineral Accrual in Physically Active Girls. With Special Reference to Reduction in Physical Activity Level and Use of Oral Contraceptives

Adolescence is an important time for acquiring high peak bone mass. Physical activity is known to be beneficial to bone development. The effect of estrogen-progestin contraceptives (EPC) is still controversial. Altogether 142 (52 gymnasts, 46 runners, and 42 controls) adolescent women participated in this study, which is based on two 7-year (n =142), one 6-year (n =140) and one 4-year (n =122) follow-ups. Information on physical activity, menstrual history, sexual maturation, nutrition, living habits and health status was obtained through questionnaires and interviews. The bone mineral density (BMD) and content (BMC) of lumbar spine (LS) and femoral neck (FN) were measured by dual- energy X-ray absoptiometry. Calcaneal sonographic measurements were also made. The physical activity of the athletes participating in this study decreased after 3-year follow-up. High-impact exercise was beneficial to bones. LS and FN BMC was higher in gymnasts than in controls during the follow-up. Reduction in physical activity had negative effects on bone mass. LS and FN BMC increased less in the group having reduced their physical activity more than 50%, compared with those continuing at the previous level (1.69 g, p=0.021; 0.14 g, p=0.015, respectively). The amount of physical activity was the only significant parameter accounting for the calcaneal sonography measurements at 6-year follow-up (11.3%) and reduced activity level was associated with lower sonographic values. Long-term low-dose EPC use seemed to prevent normal bone mass acquisition. There was a significant trend towards a smaller increase in LS and FN BMC among long-term EPC users. In conclusion, this study confirms that high-impact exercise is beneficial to bones and that the benefits are partly maintained even after a clear reduction in training level at least for 4 years. Continued exercise is needed to retain all acquired benefits. The bone mass gained and maintained can possibly be maximized in adolescence by implementing high-impact exercise for youngsters. The peak bone mass of the young women participating in the study may be reached before the age of 20. Use of low-dose EPCs seems to suppress normal bone mass acquisition.

New insights into cellular prion protein (PrPc) functions: the 'ying and yang' of a relevant protein.

The conversion of cellular prion protein (PrPc), a GPI-anchored protein, into a protease-K-resistant and infective form (generally termed PrPsc) is mainly responsible for Transmissible Spongiform Encephalopathies (TSEs), characterized by neuronal degeneration and progressive loss of basic brain functions. Although PrPc is expressed by a wide range of tissues throughout the body, the complete repertoire of its functions has not been fully determined. Recent studies have confirmed its participation in basic physiological processes such as cell proliferation and the regulation of cellular homeostasis. Other studies indicate that PrPc interacts with several molecules to activate signaling cascades with a high number of cellular effects. To determine PrPc functions, transgenic mouse models have been generated in the last decade. In particular, mice lacking specific domains of the PrPc protein have revealed the contribution of these domains to neurodegenerative processes. A dual role of PrPc has been shown, since most authors report protective roles for this protein while others describe pro-apoptotic functions. In this review, we summarize new findings on PrPc functions, especially those related to neural degeneration and cell signaling.

Two-year follow-op of cognitive functions in Schizophrenia spectrum disorders of adolescent patients treated with electroconvulsive therapy

Objective: The aim of the current study was to investigate the long-term cognitive effects of electroconvulsive therapy (ECT) in a sample of adolescent patients in whom schizophrenia spectrum disorders were diagnosed. Methods: The sample was composed of nine adolescent subjects in whom schizophrenia or schizoaffective disorder was diagnosed according to DSM-IV-TR criteria on whom ECT was conducted (ECT group) and nine adolescent subjects matched by age, socioeconomic status, and diagnostic and Positive and Negative Syndrome Scale (PANSS) total score at baseline on whom ECT was not conducted (NECT group). Clinical and neuropsychological assessments were carried out at baseline before ECT treatment and at 2-year follow-up. Results: Significant differences were found between groups in the number of unsuccessful medication trials. No statistically significant differences were found between the ECT group and theNECT group in either severity as assessed by the PANSS, or in any cognitive variables at baseline.At follow-up, both groups showed significant improvement in clinical variables (subscales of positive, general, and total scores of PANSS and Clinical Global Impressions-Improvement). In the cognitive assessment at follow-up, significant improvement was found in both groups in the semantic category of verbal fluency task and digits forward. However, no significant differences were found between groups in any clinical or cognitive variable at follow-up. Repeated measures analysis found no significant interaction of time · group in any clinical or neuropsychological measures. Conclusions: The current study showed no significant differences in change over time in clinical or neuropsychological variables between the ECT group and the NECT group at 2-year follow-up. Thus, ECT did not show any negative influence on long-term neuropsychological variables in our sample.

Investigating the functions of subregions within anterior hippocampus.

Previous functional MRI (fMRI) studies have associated anterior hippocampus with imagining and recalling scenes, imagining the future, recalling autobiographical memories and visual scene perception. We have observed that this typically involves the medial rather than the lateral portion of the anterior hippocampus. Here, we investigated which specific structures of the hippocampus underpin this observation. We had participants imagine novel scenes during fMRI scanning, as well as recall previously learned scenes from two different time periods (one week and 30 min prior to scanning), with analogous single object conditions as baselines. Using an extended segmentation protocol focussing on anterior hippocampus, we first investigated which substructures of the hippocampus respond to scenes, and found both imagination and recall of scenes to be associated with activity in presubiculum/parasubiculum, a region associated with spatial representation in rodents. Next, we compared imagining novel scenes to recall from one week or 30 min before scanning. We expected a strong response to imagining novel scenes and 1-week recall, as both involve constructing scene representations from elements stored across cortex. By contrast, we expected a weaker response to 30-min recall, as representations of these scenes had already been constructed but not yet consolidated. Both imagination and 1-week recall of scenes engaged anterior hippocampal structures (anterior subiculum and uncus respectively), indicating possible roles in scene construction. By contrast, 30-min recall of scenes elicited significantly less activation of anterior hippocampus but did engage posterior CA3. Together, these results elucidate the functions of different parts of the anterior hippocampus, a key brain area about which little is definitely known.

A nonparametric method for the measurement of size diversity with emphasis on data standardization

The most suitable method for estimation of size diversity is investigated. Size diversity is computed on the basis of the Shannon diversity expression adapted for continuous variables, such as size. It takes the form of an integral involving the probability density function (pdf) of the size of the individuals. Different approaches for the estimation of pdf are compared: parametric methods, assuming that data come from a determinate family of pdfs, and nonparametric methods, where pdf is estimated using some kind of local evaluation. Exponential, generalized Pareto, normal, and log-normal distributions have been used to generate simulated samples using estimated parameters from real samples. Nonparametric methods include discrete computation of data histograms based on size intervals and continuous kernel estimation of pdf. Kernel approach gives accurate estimation of size diversity, whilst parametric methods are only useful when the reference distribution have similar shape to the real one. Special attention is given for data standardization. The division of data by the sample geometric mean is proposedas the most suitable standardization method, which shows additional advantages: the same size diversity value is obtained when using original size or log-transformed data, and size measurements with different dimensionality (longitudes, areas, volumes or biomasses) may be immediately compared with the simple addition of ln k where kis the dimensionality (1, 2, or 3, respectively). Thus, the kernel estimation, after data standardization by division of sample geometric mean, arises as the most reliable and generalizable method of size diversity evaluation

Thermoplastic bioactive composite – with special reference to dissolution behaviour and tissue response

Bioactive glasses are surface-active ceramic materials which support and accelerate bone growth in the body. During the healing of a bone fracture or a large bone defect, fixation is often needed. The aim of this thesis was to determine the dissolution behaviour and biocompatibility of a composite consisting of poly(ε-caprolactone-co-DL-lactide) and bioactive glass (S53P4). In addition the applicability as an injectable material straight to a bone defect was assessed. In in vitro tests the dissolution behaviour of plain copolymer and composites containing bioactive glass granules was evaluated, as well as surface reactivity and the material’s capability to form apatite in simulated body fluid (SBF). The human fibroblast proliferation was tested on materials in cell culture. In in vivo experiments, toxicological tests, material degradation and tissue reactions were tested both in subcutaneous space and in experimental bone defects. The composites containing bioactive glass formed a unified layer of apatite on their surface in SBF. The size and amount of glass granules affected the degradation of polymer matrix, as well the material’s surface reactivity. In cell culture on the test materials the human gingival fibroblasts proliferated and matured faster compared with control materials. In in vitro tests a connective tissue capsule was formed around the specimens, and became thinner in the course of time. Foreign body cell reactions in toxicological tests were mild. In experimental bone defects the specimens with a high concentration of small bioactive glass granules (<45 μm) formed a dense apatite surface layer that restricted the bone ingrowth to material. The range of large glass granules (90-315 μm) with high concentrations formed the best bonding with bone, but slow degradation on the copolymer restricted the bone growth only in the superficial layers. In these studies, the handling properties of the material proved to be good and tissue reactions were mild. The reactivity of bioactive glass was retained inside the copolymer matrix, thus enabling bone conductivity with composites. However, the copolymer was noticed to degradate too slowly compared with the bone healing. Therefore, the porosity of the material should be increased in order to improve tissue healing.

Estimating extreme value cumulative distribution functions using bias-corrected kernel approaches

We propose a new kernel estimation of the cumulative distribution function based on transformation and on bias reducing techniques. We derive the optimal bandwidth that minimises the asymptotic integrated mean squared error. The simulation results show that our proposed kernel estimation improves alternative approaches when the variable has an extreme value distribution with heavy tail and the sample size is small.

Liiketoimintastrategisten vaatimusten syntyminen ja niiden toteutumisen arviointi keskisuurten yritysten toiminnanohjausjärjestelmähankkeissa. Tapaustutkimus kolmesta teollisuusyrityksestä ja aineistolähtöinen teoria

Tietojärjestelmien strateginen kehittäminen on ollut niin liike-elämän kiinnostuksen kuin akateemisen tutkimuksenkin kohteena jo pitkään. Aihe on edelleen ajankohtainen, eikä ajankohtaisuus osoita laantumisen merkkejä. Valtaosa tutkimuksesta on kohdistunut suuryrityksiin ja jonkin verran pk-yrityksiin yhtenä ryhmänä. Tutkimus on kohdistunut aiheeseen tarkastelemalla onko tietojärjestelmien ja liiketoimintastrategian välillä yhteyttä, ja jos, onko sillä merkitystä yrityksen menestykselle. Tämän tutkimuksen tavoitteena oli pureutua syvemmälle siihen tapaan, jolla yritys kytkee liiketoimintastrategiansa tietojärjestelmähankintaan. Kohdetietojärjestelmäksi tutkimuksessa valittiin toiminnanohjausjärjestelmät ja yrityskooksi keskisuuret yritykset. Toiminnanohjausjärjestelmän valintaa voidaan perustella sen kattavuudella yrityksen toiminnassa eri sidosryhmien suunnasta katsottaessa. Keskisuuret yritykset valittiin osittain sen vuoksi, koska niistä ei ole paljoakaan omaa tutkimusta, osittain sen vuoksi, että niiden luonne kehityspolun epäjatkumokohdassa haluttiin nostaa esille. Tutkimuksen empiirinen osa pohjautuu kolmeen tutkimustapaukseen, kolmen keskisuuren yrityksen toiminnanohjaushankkeeseen. Tapausyritysten liiketoiminta- ja ITjohtoa haastateltiin, ja lisäksi käytettiin kaikkea saataville ollutta kirjallista arkistoaineistoa. Tutkimuksen päämenetelmä oli Grounded Theory (GT). Tutkimustavassa ei, poiketen useista muista laadullisista tutkimustavoista, ole ennalta määrättyä viitekehystä, vaan tutkimus lähtee liikkeelle ns. puhtaalta pöydältä ilman esioletuksia luoden tutkimusprosessin kuluessa uutta teoriaa. Tutkimustavan etuna voidaan pitää ennakkoluulottomuutta. Aikaisemman tutkimuksen rooli tässä tutkimuksessa oli ensinnäkin kartoittaa tutkimusaluetta ja olla johdantona tutkimukselle, toisaalta tuloksia vertailtiin aikaisempaan tutkimukseen. Tutkimusaineisto analysoitiin tarkasti. Ensin aineisto käytiin läpi koodaamalla se aineistosta esille nousseiden käsitteiden alle. Seuraavaksi saatu tulos luokiteltiin aineistosta nousseisiin luokkiin sekä muodostettiin käsitteiden ja luokkien väliset yhteydet. Lopuksi muodostumassa oleva teoria konkretisoitiin 18 hypoteesin ja hypoteesit yhdistävän mallin avulla. Tutkimuksessa saatiin uutta tietoa siitä, miten vaatimusprosessi etenee ja miten keskisuuren yrityksen ominaispiirteet vaikuttavat vaatimusprosessiin. Lisäksi saatiin uutta tietoa siitä, mitkä ovat kriittisiä menestystekijöitä keskisuuren yrityksen toiminnanohjaushankkeessa. Keskisuuretyritykset näyttävät tämän tutkimuksen aineiston perusteella osaavan asettaa vaatimuksia toiminnanohjausjärjestelmälle liiketoimintastrategian, prosessikuvausten ja toiminnanohjausjärjestelmien tarjoamien mahdollisuuksien suunnista. Vaatimusten toteutumisenarviointi on keskisuurilla yrityksillä epäsystemaattista, kuten aikaisemmassa tutkimuksessa on todettu olevan myös suurilla yrityksillä. Resurssivaje vaikeuttaa toiminnanohjausjärjestelmän liiketoimintastrategisten vaatimusten toteutumista. Tutkimusaineiston perusteella voidaan päätellä, että keskisuurissa yrityksissä – huolimatta siitä, että niissä on olemassa prosessikuvaukset – ei ole varsinaista prosessiajattelua tai prosessijohtamista. Keskisuuret yritykset eivät tämän tutkimuksen aineiston perusteella näytä muodostavan poikkeusta, vaan mittariston käyttö on epäkypsää, eikä mittaristoa pystytä hyödyntämään tietojärjestelmähankkeen tukena. Tulosten pohjalta voidaan arvioida, että strategisen johtamisen komponentit ovat keskisuuressa yrityksessä toisistaan irrallisia. Vaikka toiminnanohjaushankkeen vaatimuksia asetettaessa liiketoimintastrategia on vahvasti mukana, jää vaatimuksenasettelu karkealle tasolle, eikä konkretisoidu prosesseihin ja mittarointiin. Sen seurauksena toiminnanohjausjärjestelmästä ei saada kaikkea sitä hyötyä ja tukea liiketoimintastrategialle, mikä olisi mahdollista. Tutkimuksessa tuli myös esille resurssi- ja osaamispuutteen haittavaikutuksia keskisuurten yritysten toiminnanohjaushankkeiden vaatimusprosessissa. Puutteet yhdistettynä hajallaan oleviin strategisen johtamisen komponentteihin muodostavat yhdessä vaikean lähtökohdan strategiselle toiminnanohjaushankkeelle.