A Gradient based algorithm for blind inversion of Wiener System using multi-variate score functions

A Wiener system is a linear time-invariant filter, followed by an invertible nonlinear distortion. Assuming that the input signal is an independent and identically distributed (iid) sequence, we propose an algorithm for estimating the input signal only by observing the output of the Wiener system. The algorithm is based on minimizing the mutual information of the output samples, by means of a steepest descent gradient approach.

Koulutustarvekartoitus henkilöstökoulutuksen suunnittelun apuvälineenä - Case: Etelä-Saimaan Sanomalehti Oy

Tutkielman päätavoitteena on selvittää kohdeyrityksen henkilöstön tämän hetkinen osaamistaso ja sitä myöten koulutustarve koulutustarvekartoitusta apuna käyttäen. Tarkoitus on antaa yritykselle suuntaviivoja ja ajatuksia siitä, minkälaisiin toimenpiteisiin olisi aiheellista ryhtyä henkilöstön osaamistason pitämiseksi riittävällä tasolla. Ennen tutkimustulosten esittelyä käsitellään henkilöstön kehittämistä ja erityisesti henkilöstökoulutusta kehittämismenetelmänä perustuen kirjalliseen lähdeaineistoon. Kyseessä on empiirinen tutkimus, joka perustuu Etelä-Saimaan Sanomalehti Oy:n henkilöstölle tehtyyn koulutustarvekartoitukseen ja yrityksen esimiehille tehtyihin henkilökohtaisiin haastatteluihin. Tehdessään pitkän tähtäyksen koulutussuunnitelmia, yritys voi ottaa lähtökohdaksi henkilöstön tämän hetkisen osaamisen tason. Kun huomioidaan yrityksen tulevaisuuden suunnitelmat ja strategiat, tiedetään, mihin toimintoihin tulevaisuudessa tullaan keskittymään ja minkälaista osaamista erityisesti tarvitaan. Nykyisen osaamistason selvittämiseen koulutustarvekartoitus tarjoaa oivallisen apuvälineen. Tulevat koulutushankkeet voidaan suunnitella kartoituksesta saatujen tietojen perusteella, jolloin jokaiselle yrityksen työntekijälle voidaan laatia henkilökohtainen koulutussuunnitelma. Ilmeni, että kohdeyrityksessä on koulutustarvetta; vaikka suurin osa kyselyyn osallistuneista tuntuu selviytyvän nykyisistä työtehtävistään kohtalaisen hyvin, joillakin alueilla olisi parantamisen varaa. Akuuteimmat koulutustarpeet kohdistuvat kielitaitoon, Internetin tehokkaampaan hyödyntämiseen sekä perustoimistojärjestelmien (Word, Excel) käyttöön.

Role of basic calcium phosphate crystals in osteoarthritis

L'arthrose est une maladie dégénérative des articulations due à une dégradation progressive du cartilage. La calcification de l'articulation (essentiellement due à des dépôts de cristaux de phosphate de calcium basique -cristaux BCP-) est une caractéristique de cette maladie. Cependant, le rôle des cristaux BCP reste à déterminer. Nous avons tout d'abord déterminé en utilisant des cultures primaires de chondrocytes que les cristaux de BCP induisaient la production de la cytokine IL-6, via une signalisation intracellulaire implicant les kinase Syk, PI3 et Jak et Stat3. Les cristaux de BCP induisent également la perte de protéoglycanes et l'expression de IL-6 dans des explants de cartlage humain et ces deux effets peuvent être bloqués par un inhibiteur de IL-6, le Tocilizumab. Par ailleurs, nous avons trouvé que l'IL-6 ajouté à des chondrocytes, favorisait la formation de cristax de BCP et augmentait l'expression de gènes impliqués dans le processus de minéralisation : Ank (codant pour un transporteur de pyrophooshate), Annexin5 (codant pour un canal calcique) et Pit-1 (codant pour un transporteur de phoshate). In vivo, les cristaux de BCP injectés dans l'articulation de souris induisent une érosion du cartilage. Dans un modèle murin d'arthrose du genou induit par ménisectomie, nous avons observé la formation progressive de cristaux de BCP. Fait intéressant, la présence de ces cristaux dans l'articulation précédait la destruction du cartilage. Un agent susceptible de bloquer les calcifications tel que le sodium thiosulfate (STS), administré à des souris ménisectomisées, inhibait le dépôt intra-articulaire de ces cristaux ainsi que l'érosion du cartilage. Nous avons identifié ainsi un cercle vicieux dans l'arthrose, les cristaux induisant l'interleukine-6 et l'interleukine-6 induisant la formation de ces cristaux. Nous avons étudié si on pouvait bloquer cette boucle cristaux de BCP-IL6 soit par des agents décalcifiants, soit par des inhibiteurs d'IL-6. In vitro, des anticorps anti IL- 6 ou des inhibiteurs de signalisation, inhibaient significativement IL-6 et la minéralisation induite par IL-6. De même le STS inhibait la formation de ces cristaux et la production de l'IL-6. Tout récemment, nous avons trouvé que des inhibiteurs de la xanthine oxidoréductase étaient aussi capables d'inhiber à la fois la production d'IL-6 et la minéralization des chondrocytes. Finalement, nous avons pu exclure un rôle du système IL-1 dans le modèle d'arthrose induite par ménisectomie, les souris déficientes pour IL-1a/ß, MyD88 et l'inflammasome NLRP3 n'étant pas protégées dans ce modèle d'arthrose. L'ensemble de nos résultats montre que les cristaux BCP sont pathogéniques dans l'arthrose et qu'un inhibiteur de minéralisation tel que le STS ou un inhibiteur de l'interleukine-6 constitueraient des nouvelles thérapies pour l'arthrose. -- Osteoarthritis (OA), the most common degenerative disorder of the joints, results from an imbalance between the breakdown and repair of the cartilage and surrounding articular structures. Joint calcification (essentially due to basic calcium phosphate (BCP) crystal deposition) is a characteristic feature of OA. However, the role of BCP crystal deposition in the pathogenesis of OA remains unclear[1][1]. We first demonstrated that in primary murine chondrocytes exogenous BCP crystals led to IL-6 up-modulation and that BCP crystal signaling pathways involved Syk and PI3 kinases, and also gp130 associated molecules, Jak2 and Stat3. BCP crystals also induced proteoglycan loss and IL-6 expression in human cartilage expiants, (which were significantly reduced by an IL-6 inhibitor). In addition, we found that in chondrocytes exogenous IL-6 promoted calcium-containing crystal formation and up- regulation of genes codifying for proteins involved in the calcification process: the inorganic pyrophosphate transport channel Ank, the calcium channel Annexinö and the sodium/phosphate cotransporter Piti. In vivo, BCP crystals injected into murine knee joints induced cartilage erosion. In the menisectomy model, increasing deposits, identified as BCP crystals, were progressively observed around the joint before cartilage erosion. These deposits strongly correlated with cartilage degradation and IL-6 expression. These results demonstrated that BCP crystals deposition and IL-6 production are mutually reinforcing in the osteoarthritic pathogenic process. We then investigated if we could block the BCP-IL6 loop by either targeting IL-6 production or BCP crystal deposits. Treatment of chondrocytes with anti-IL-6 antibodies or inhibitors of IL-6- signaling pathway significantly inhibited IL-6-induced crystal formation. Similarly, sodium thiosulfate (STS), a well-known systemic calcification inhibitor, decreased crystal deposition as well as HA-induced IL-6 secretion in chondrocytes and, in vivo, it decreased crystal deposits size and cartilage erosion in menisectomized knees. Interestingly, we also found that xanthine-oxidoreductase (XO) inhibitors inhibited both IL-6 production and calcium crystal depositis in chondrocytes. We began to unravel the mechanisms involved in this coordinate modulation of IL-6 and mineralization. STS inhibited Reactive Oxygen Species (ROS) generation and we are currently investigating whether XO represents a major source of ROS in chondrocyte mineralization. Finally, we ruled out that IL-1 activation/signaling plays a role in the murine model of OA induced by menisectomy, as IL-1a/ß, the IL-1 R associated molecule MyD88 and NLRP3 inflammasome deficient mice were not protected in this model of OA. Moreover TLR-1, -2, -4,-6 deficient mice had a phenotype similar to that of wild-type mice. Altogether our results demonstrated a self-amplification loop between BCP crystals deposition and IL-6 production, which represents an aggravating process in OA pathogenesis. As currently prescribed OA drugs are addressing OA symptoms,our results highlight a potential novel treatment strategy whereby inhibitors of calcium- containing crystal formation and IL-6 could be combined to form the basis of a disease modifying treatment and alter the course of OA.

Sidelobe elimination for generalized synthetic discriminant functions by a two-filter correlation and subsequent postprocessing of the intensity distributions

One of the most important problems in optical pattern recognition by correlation is the appearance of sidelobes in the correlation plane, which causes false alarms. We present a method that eliminate sidelobes of up to a given height if certain conditions are satisfied. The method can be applied to any generalized synthetic discriminant function filter and is capable of rejecting lateral peaks that are even higher than the central correlation. Satisfactory results were obtained in both computer simulations and optical implementation.

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.

Ilmastonmuutos ja pitkän sähkökatkon haitat

Tämän diplomityön päätavoitteena oli tutkia millaisia vaikutuksia ilmastonmuutoksella on pitkiin sähkökatkoihin ja miten pitkä sähkökatko vaikuttaa yhteiskunnan toimintoihin sekä sähkönkäyttäjiin. Työn alussa käydään läpi ilmastonmuutos ilmiönä. Sittemmin tutkitaan erilaisia ilmastomalleja ja malleista saatuja tuloksia esimerkiksi lämpötilan ja tuulisuuden osalta. Myös roudan ja tykkylumen esiintymiseen paneudutaan. Yli puolet työstä koostuu yhteiskunnan sähkökatkon sietämisen tutkimisesta. Perustoimintojen, kuten vesijohtojen, lämmityksen ja puhelimen toimintaa tutkitaan. Työssä tehdään myös katsaus kuntien valmistuneisuuteen valmiussuunnitelmien ja varavoiman osalta.

Cysteine cathepsin proteases: regulators of cancer progression and therapeutic response.

Cysteine cathepsin protease activity is frequently dysregulated in the context of neoplastic transformation. Increased activity and aberrant localization of proteases within the tumour microenvironment have a potent role in driving cancer progression, proliferation, invasion and metastasis. Recent studies have also uncovered functions for cathepsins in the suppression of the response to therapeutic intervention in various malignancies. However, cathepsins can be either tumour promoting or tumour suppressive depending on the context, which emphasizes the importance of rigorous in vivo analyses to ascertain function. Here, we review the basic research and clinical findings that underlie the roles of cathepsins in cancer, and provide a roadmap for the rational integration of cathepsin-targeting agents into clinical treatment.

Dual-Energy CT: Basic Principles, Technical Approaches, and Applications in Musculoskeletal Imaging (Part 1).

In recent years, technological advances have allowed manufacturers to implement dual-energy computed tomography (DECT) on clinical scanners. With its unique ability to differentiate basis materials by their atomic number, DECT has opened new perspectives in imaging. DECT has been used successfully in musculoskeletal imaging with applications ranging from detection, characterization, and quantification of crystal and iron deposits; to simulation of noncalcium (improving the visualization of bone marrow lesions) or noniodine images. Furthermore, the data acquired with DECT can be postprocessed to generate monoenergetic images of varying kiloelectron volts, providing new methods for image contrast optimization as well as metal artifact reduction. The first part of this article reviews the basic principles and technical aspects of DECT including radiation dose considerations. The second part focuses on applications of DECT to musculoskeletal imaging including gout and other crystal-induced arthropathies, virtual noncalcium images for the study of bone marrow lesions, the study of collagenous structures, applications in computed tomography arthrography, as well as the detection of hemosiderin and metal particles.

Dual-Energy CT: Basic Principles, Technical Approaches, and Applications in Musculoskeletal Imaging (Part 2).

In recent years, technological advances have allowed manufacturers to implement dual-energy computed tomography (DECT) on clinical scanners. With its unique ability to differentiate basis materials by their atomic number, DECT has opened new perspectives in imaging. DECT has been successfully used in musculoskeletal imaging with applications ranging from detection, characterization, and quantification of crystal and iron deposits, to simulation of noncalcium (improving the visualization of bone marrow lesions) or noniodine images. Furthermore, the data acquired with DECT can be postprocessed to generate monoenergetic images of varying kiloelectron volts, providing new methods for image contrast optimization as well as metal artifact reduction. The first part of this article reviews the basic principles and technical aspects of DECT including radiation dose considerations. The second part focuses on applications of DECT to musculoskeletal imaging including gout and other crystal-induced arthropathies, virtual noncalcium images for the study of bone marrow lesions, the study of collagenous structures, applications in computed tomography arthrography, as well as the detection of hemosiderin and metal particles.

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.