Väsymisen huomiointi laitteen ohjauksessa

Työssä selvitettiin väsymisen huomioivan ja minimoivan laitteen ohjausmenetelmiä. Väsymisilmiön huomioiva älykäs laite monitoroi itsenäisesti mm. väsymissäröjen kasvua ja muuttaa toimintaansa sen mukaisesti. Reagoinnin hyötyinä saavutetaan väsyttävästi kuormitetulle laitteelle mm. pidempi käyttöikä ja riskin hallinta, jossa laite tietää, miten sitä voidaan käyttää ennen vauriota ja sen jälkeen. Kunnossapitoon liittyen ennustetaan jäljellä olevaa käyttöikää, jolloin voidaan suunnitella huolto. Tutkimuksessa käsiteltiin mm. laitteiden ohjauksen tarvitsemia mittausmenetelmiä, mittaustiedon käsittelyä, vaurion luokittelua ja vauriota minimoivan ohjauksen rakennetta. Lisäksi käsiteltiin lyhyesti vaurion luokittelussa sekä ohjausreaktioiden ratkaisemisessa tarvittavia oppivia menetelmiä. Väsymistä minimoivan laitteen ohjauksen perusedellytys on laitteen kokemien rasitusten ja/tai suorituksen mittaaminen. Mittaustulosten perusteella määritetään vaurioitumista kuvaavat suureet. Ohjauksen vaurioon reagoivassa osassa määritetään tieto vaurioitumisen kriittisyydestä ja tämän perusteella tarvittava ohjauksen optimaalinen muutos sekä optimaalinen ohjaussignaali tai muu korjaava toimenpide. Ohjaus optimoidaan vaurioitumisnopeus minimoiden ja suorituskyky maksimoiden. Näiden välille etsitään sopiva tasapaino, jossa suorituskyvyn häviö on pieni mahdollisimman suurella vaurioitumisen pienenemisellä. Tämän jälkeen mittauksien avulla saadaan tieto korjatun ohjauksen vaikutuksesta vauriosuureisiin.

Product information management system design framework for production oriented company

Diplomityössä luodaan viitekehys tuotetiedonhallintajärjestelmän esisuunnittelua varten. Siinä on kolme ulottuvuutta: lisäarvontuotto-, toiminnallisuus- ja ohjelmistoulottuvuus. Viitekehys auttaa- tunnistamaan lisäarvontuottokomponentit, joihin voidaan vaikuttaa tiettyjen ohjelmistoluokkien tarjoamilla tuotetiedonhallintatoiminnallisuuksilla. Viitekehyksen järjestelmäsuunnittelullista näkökulmaa hyödynnetään tutkittavissa yritystapauksissa perustuen laskentamatriisin muotoon mallinnettuihin ulottuvuuksien välisiin suhteisiin. Matriisiin syötetään lisäarvontuotto- ja toiminnallisuuskomponenttien saamat tärkeydet kohdeyrityksessä suoritetussa haastattelututkimuksessa. Matriisin tuotos on tietyn ohjelmiston soveltuvuus kyseisen yrityksen tapauksessa. Soveltuvuus on joukko tunnuslukuja, jotka analysoidaan tulostenkäsittelyvaiheessa. Soveltuvuustulokset avustavat kohdeyritystä sen valitessa lähestymistapaansa tuotetiedonhallintaan - ja kuvaavat esisuunnitellun tuotetiedonhallintajärjestelmän. Viitekehyksen rakentaminen vaatii perinpohjaisen lähestymistavan merkityksellisten lisäarvontuotto- ja toiminnallisuuskomponenttien sekä ohjelmistoluokkien määrittämiseen. Määritystyö perustuu työssä yksityiskohtaisesti laadittujen menetelmien ja komponenttiryhmitysten hyödyntämiselle. Kunkin alueen analysointi mahdollistaa viitekehyksen ja laskentamatriisin rakentamisen yhdenmukaisten määritysten perusteella. Viitekehykselle on ominaista sen muunneltavuus. Nykymuodossaan se soveltuu elektroniikka- ja high-tech yrityksille. Viitekehystä voidaan hyödyntää myös muilla toimialoilla muokkaamalla lisäarvontuottokomponentteja kunkin toimialan intressien mukaisesti. Vastaavasti analysoitava ohjelmisto voidaan valita tapauskohtaisesti. Laskentamatriisi on kuitenkin ensin päivitettävä valitun ohjelmiston kyvykkyyksillä, minkä jälkeen viitekehys voi tuottaa soveltuvuustuloksia kyseiseen yritystapaukseen perustuen

Polymorphisms in DNA-repair genes in a cohort of prostate cancer patients from different areas in Spain: heterogeneity between populations as a confounding factor in association studies

Background: Differences in the distribution of genotypes between individuals of the same ethnicity are an important confounder factor commonly undervalued in typical association studies conducted in radiogenomics. Objective: To evaluate the genotypic distribution of SNPs in a wide set of Spanish prostate cancer patients for determine the homogeneity of the population and to disclose potential bias. Design, Setting, and Participants: A total of 601 prostate cancer patients from Andalusia, Basque Country, Canary and Catalonia were genotyped for 10 SNPs located in 6 different genes associated to DNA repair: XRCC1 (rs25487, rs25489, rs1799782), ERCC2 (rs13181), ERCC1 (rs11615), LIG4 (rs1805388, rs1805386), ATM (rs17503908, rs1800057) and P53 (rs1042522). The SNP genotyping was made in a Biotrove OpenArrayH NT Cycler. Outcome Measurements and Statistical Analysis: Comparisons of genotypic and allelic frequencies among populations, as well as haplotype analyses were determined using the web-based environment SNPator. Principal component analysis was made using the SnpMatrix and XSnpMatrix classes and methods implemented as an R package. Non-supervised hierarchical cluster of SNP was made using MultiExperiment Viewer. Results and Limitations: We observed that genotype distribution of 4 out 10 SNPs was statistically different among the studied populations, showing the greatest differences between Andalusia and Catalonia. These observations were confirmed in cluster analysis, principal component analysis and in the differential distribution of haplotypes among the populations. Because tumor characteristics have not been taken into account, it is possible that some polymorphisms may influence tumor characteristics in the same way that it may pose a risk factor for other disease characteristics. Conclusion: Differences in distribution of genotypes within different populations of the same ethnicity could be an important confounding factor responsible for the lack of validation of SNPs associated with radiation-induced toxicity, especially when extensive meta-analysis with subjects from different countries are carried out.

Evaluation of Software Development Practices through Error Analysis

This thesis studies evaluation of software development practices through an error analysis. The work presents software development process, software testing, software errors, error classification and software process improvement methods. The practical part of the work presents results from the error analysis of one software process. It also gives improvement ideas for the project. It was noticed that the classification of the error data was inadequate in the project. Because of this it was impossible to use the error data effectively. With the error analysis we were able to show that there were deficiencies in design and analyzing phases, implementation phase and in testing phase. The work gives ideas for improving error classification and for software development practices.

Biomarkers of Host Response Predict Primary End-Point Radiological Pneumonia in Tanzanian Children with Clinical Pneumonia: A Prospective Cohort Study.

BACKGROUND: Diagnosing pediatric pneumonia is challenging in low-resource settings. The World Health Organization (WHO) has defined primary end-point radiological pneumonia for use in epidemiological and vaccine studies. However, radiography requires expertise and is often inaccessible. We hypothesized that plasma biomarkers of inflammation and endothelial activation may be useful surrogates for end-point pneumonia, and may provide insight into its biological significance. METHODS: We studied children with WHO-defined clinical pneumonia (n = 155) within a prospective cohort of 1,005 consecutive febrile children presenting to Tanzanian outpatient clinics. Based on x-ray findings, participants were categorized as primary end-point pneumonia (n = 30), other infiltrates (n = 31), or normal chest x-ray (n = 94). Plasma levels of 7 host response biomarkers at presentation were measured by ELISA. Associations between biomarker levels and radiological findings were assessed by Kruskal-Wallis test and multivariable logistic regression. Biomarker ability to predict radiological findings was evaluated using receiver operating characteristic curve analysis and Classification and Regression Tree analysis. RESULTS: Compared to children with normal x-ray, children with end-point pneumonia had significantly higher C-reactive protein, procalcitonin and Chitinase 3-like-1, while those with other infiltrates had elevated procalcitonin and von Willebrand Factor and decreased soluble Tie-2 and endoglin. Clinical variables were not predictive of radiological findings. Classification and Regression Tree analysis generated multi-marker models with improved performance over single markers for discriminating between groups. A model based on C-reactive protein and Chitinase 3-like-1 discriminated between end-point pneumonia and non-end-point pneumonia with 93.3% sensitivity (95% confidence interval 76.5-98.8), 80.8% specificity (72.6-87.1), positive likelihood ratio 4.9 (3.4-7.1), negative likelihood ratio 0.083 (0.022-0.32), and misclassification rate 0.20 (standard error 0.038). CONCLUSIONS: In Tanzanian children with WHO-defined clinical pneumonia, combinations of host biomarkers distinguished between end-point pneumonia, other infiltrates, and normal chest x-ray, whereas clinical variables did not. These findings generate pathophysiological hypotheses and may have potential research and clinical utility.

Treatment of Prosthetic Joint Infections

Prosthetic joint replacement is one of the most successful surgical procedures of the last century and the number of implanted artificial joints is rapidly growing. While the result of the procedure is generally positive, infections may occur leading to patient suffering, surgeon's frustration and important costs to the health system. Infection after prosthetic joint replacement is thus a feared complication as healing rates can be low, functional result poor and satisfaction of the patient abysmal. However, if a patient-adapted treatment of infected total joints is used, an overall success rate of above 90 % can be obtained. The patient-adapted treatment concept is based on five strong pillars: teamwork, understanding biofilm, proper diagnostics, proper definition and classification and patient-tailored treatment.

La performance sportive comme travail

Au cours des dernières décennies, les recherches articulant sport et travail se sont beaucoup développées. Elles portent sur un large ensemble de questions comme le fonctionnement des organisations sportives, les carrières des sportifs de haut niveau, la croissance d'un secteur économique et de métiers de l'intervention sportive, les migrations internationales des sportifs, les discriminations sexuelles ou raciales dans l'accès aux marchés du travail sportif, etc. Ici nous mettons l'accent sur une dimension, centrale, des activités sportives : la compétition. Et notre objectif est d'analyser les mécanismes de production de la performance sportive. Nous considérons celle-ci comme le résultat d'un travail qui n'engage pas les seuls sportifs, avec leurs aptitudes, qualités ou capacités individuelles. Nous la définissons comme une activité collective, qui mobilise une pluralité d'acteurs, institutions, organisations. À travers une variété d'opérations de jugement, d'évaluation, de reconnaissance, de qualification, de cotation, de sélection, ces acteurs contribuent, de manière directe et décisive, à produire la performance sportive. En présentant des travaux empiriques qui argumentent cette problématique et la mobilisent dans des domaines variés (cyclisme, rugby, judo, etc.), nous invitons au développement de recherches sur le travail sportif. In recent decades, there has been much development in research connecting sport and work. It covers a wide range of questions such as how sports organisations operate, the careers of top-level athletes, the growth of an economic sector and its specific jobs, the international migrations of athletes, sexual or racial discrimination in access to the labour market in sport, etc. Here, we place the emphasis on one central dimension of sports activities : competition. Our objective is to analyse the mechanisms of production of sports performance. We consider this to be the outcome of work that does not only involve athletes, with their individual skills, qualities or capacities. We define it as a collective activity that marshals multiple actors, institutions, organisations. Through a variety of activities of judgement, evaluation, recognition, qualification, classification and selection, these actors contribute directly and decisively to producing sports performance. By presenting empirical work that discusses this issue and applies it in varied domains (cycling, rugby, judo, etc.), we call for the development of research into work in sport.

Population-based incidence of myeloid malignancies: fifteen years of epidemiological data in the province of Girona, Spain

Myeloid malignancies (MMs) are a heterogeneous group of hematologic malignancies presenting different incidence, prognosis and survival.1–3 Changing classifications (FAB 1994, WHO 2001 and WHO 2008) and few available epidemiological data complicate incidence comparisons.4,5 Taking this into account, the aims of the present study were: a) to calculate the incidence rates and trends of MMs in the Province of Girona, northeastern Spain, between 1994 and 2008 according to the WHO 2001 classification; and b) to predict the number of MMs cases in Spain during 2013. Data were extracted from the population-based Girona Cancer Registry (GCR) located in the north-east of Catalonia, Spain, and covering a population of 731,864 inhabitants (2008 census). Cases were registered according to the rules of the European Network for Cancer Registries and the Manual for Coding and Reporting Haematological Malignancies (HAEMACARE project). To ensure the complete coverage of MMs in the GCR, and especially myeloproliferative neoplasms (MPN) and myelodysplastic syndromes (MDS), a retrospective search was performed. The ICD-O-2 (1990) codes were converted into their corresponding ICD-O-3 (2000) codes, including MDS, polycythemia vera (PV) and essential thrombocythemia (ET) as malignant diseases. Results of crude rate (CR) and European standardized incidence rate (ASRE) were expressed per 100,000 inhabitants/year

Agentes complexantes: podante, coronante e criptante classificação e nomenclatura

The scientific and practical interest in crown ethers as complexing agents for actions as well as for anions and neutral low molecular species is undeniable. New molecules with crown ether properties are constantly synthesized and new application discovered. This paper presents classification and nomenclature of the classical oligoethers (crown ethers): monocyclic coronands; oligocyclic spherical cryptands; and acyclic podands.

Classificação e definição dos métodos de análises em fluxo (Recomendações - IUPAC 1994)

The aim of this report is to classify analytical methods based on flowing media and to define (standardize) terminology. After the classification and a discussion of terms describing the systems and component parts, a section is devoted to terms describing the performance of flow systems. The list of terms included is restricted to the most relevant ones; especially "self-explanatory" terms are left out. It is emphasised that the usage of terms or expressions that do not adequately describe the processes or procedures involved should be strongly discouraged. Although belonging to the category of methods based on flowing media, chromatographic methods are not comprised in the present document. However, care has been taken that the present text is not in conflict with definitions in that domain. In documents in which flow methods are described, it should be clearly indicated how the sample and/or reagent is introduced and how the sample zone is transported. When introducing new techniques in the field, or variants of existing techniques, it is strongly recommended that descriptive terms rather than trivial or elaborate names are used.

Learning Preferences with Kernel-Based Methods

Learning of preference relations has recently received significant attention in machine learning community. It is closely related to the classification and regression analysis and can be reduced to these tasks. However, preference learning involves prediction of ordering of the data points rather than prediction of a single numerical value as in case of regression or a class label as in case of classification. Therefore, studying preference relations within a separate framework facilitates not only better theoretical understanding of the problem, but also motivates development of the efficient algorithms for the task. Preference learning has many applications in domains such as information retrieval, bioinformatics, natural language processing, etc. For example, algorithms that learn to rank are frequently used in search engines for ordering documents retrieved by the query. Preference learning methods have been also applied to collaborative filtering problems for predicting individual customer choices from the vast amount of user generated feedback. In this thesis we propose several algorithms for learning preference relations. These algorithms stem from well founded and robust class of regularized least-squares methods and have many attractive computational properties. In order to improve the performance of our methods, we introduce several non-linear kernel functions. Thus, contribution of this thesis is twofold: kernel functions for structured data that are used to take advantage of various non-vectorial data representations and the preference learning algorithms that are suitable for different tasks, namely efficient learning of preference relations, learning with large amount of training data, and semi-supervised preference learning. Proposed kernel-based algorithms and kernels are applied to the parse ranking task in natural language processing, document ranking in information retrieval, and remote homology detection in bioinformatics domain. Training of kernel-based ranking algorithms can be infeasible when the size of the training set is large. This problem is addressed by proposing a preference learning algorithm whose computation complexity scales linearly with the number of training data points. We also introduce sparse approximation of the algorithm that can be efficiently trained with large amount of data. For situations when small amount of labeled data but a large amount of unlabeled data is available, we propose a co-regularized preference learning algorithm. To conclude, the methods presented in this thesis address not only the problem of the efficient training of the algorithms but also fast regularization parameter selection, multiple output prediction, and cross-validation. Furthermore, proposed algorithms lead to notably better performance in many preference learning tasks considered.

Análise química quantitativa para a padronização do óleo de copaíba por cromatografia em fase gasosa de alta resolução

Quantitative GC-FID was evaluated for analysis of methylated copaiba oils, using trans-(-)-caryophyllene or methyl copalate as external standards. Analytical curves showed good linearity and reproducibility in terms of correlation coefficients (0.9992 and 0.996, respectively) and relative standard deviation (< 3%). Quantification of sesquiterpenes and diterpenic acids were performed with each standard, separately. When compared with the integrator response normalization, the standardization was statistically similar for the case of methyl copalate, but the response of trans-(-)-caryophyllene was statistically (P < 0.05) different. This method showed to be suitable for classification and quality control of commercial samples of the oils.

Informação de patentes: ferramenta indispensável para a pesquisa e o desenvolvimento tecnológico

As technological information is published mainly as a patent, it is fundamental for the country development to know the patent system. In this article it is presented basic information on intellectual property, in special on patent. It is showed the structure of the patent documents, and it is given notions on International Classification and patent data banks.

Veus ignorades: representacions socials, subjectivitat i resiliència en persones grans amb pèrdua d’autonomia funcional

Els processos per a l’aprovació i la implementació de la Llei per a l’Autonomia personal i l’Atenció a les Persones en situació de Dependència (LAPAD) han donat lloc a un intens debat polític i social que, coincidint també amb les millores en la provisió de serveis i els avenços mèdics, ha contribuït a un procés de classificació i d’etiquetatge basats en els dèficits de les persones que es troben en aquestes circumstàncies. Aquesta visió anul·la el subjecte i la seva experiència singular i condiciona l’abordatge dels models d’atenció i de cura. L’estudi pretén fer una aproximació a les persones grans amb pèrdua d’autonomia funcional, fent emergir les seves veus, que expressen com perceben, interpreten, afronten i es reajusten a la nova situació. Partint d’un enfocament constructivista, basat en la subjectivitat, es fa un recorregut sobre els models de la discapacitat que han reeixit en l’activitat científica dels darrers anys, els mecanismes de regulació de les pèrdues que defensen les teories del cicle vital i les aportacions que s’han fet sobre el model de la resiliència aplicat a les persones que envelleixen. El resultats de l’estudi mostren com les representacions i els significats que les persones grans atribueixen a la seva experiència s’inscriuen en les seves trajectòries vitals, donant un sentit únic i singular a la forma de viure i de respondre a la pèrdua d’autonomia funcional i les seves conseqüències. Aquelles que expressen una vivència d’integritat respecte de la vida viscuda, amb predomini d’afectes positius envers un mateix i els altres, que conserven l’esperança i el desig de continuar vivint, s’ajusten a les pèrdues de manera més satisfactòria que aquelles que expressen desconfiança i una certa amargor respecte de la pròpia vida. D’això se’n deriva que els espais d’escolta i d’acompanyament poden ser un recurs vàlid i necessari en el qual, a través de la paraula i el testimoni narrat, el subjecte pugui repensar i resignificar les seves experiències.

Optimizing of intelligence level in welding

The productivity, quality and cost efficiency of welding work are critical for metal industry today. Welding processes must get more effective and this can be done by mechanization and automation. Those systems are always expensive and they have to pay the investment back. In this case it is really important to optimize the needed intelligence and this way needed automation level, so that a company will get the best profit. This intelligence and automation level was earlier classified in several different ways which are not useful for optimizing the process of automation or mechanization of welding. In this study the intelligence of a welding system is defined in a new way to enable the welding system to produce a weld good enough. In this study a new way is developed to classify and select the internal intelligence level of a welding system needed to produce the weld efficiently. This classification contains the possible need of human work and its effect to the weld and its quality but does not exclude any different welding processes or methods. In this study a totally new way is developed to calculate the best optimization for the needed intelligence level in welding. The target of this optimization is the best possible productivity and quality and still an economically optimized solution for several different cases. This new optimizing method is based on grounds of product type, economical productivity, the batch size of products, quality and criteria of usage. Intelligence classification and optimization were never earlier made by grounds of a made product. Now it is possible to find the best type of welding system needed to welddifferent types of products. This calculation process is a universal way for optimizing needed automation or mechanization level when improving productivity of welding. This study helps the industry to improve productivity, quality and cost efficiency of welding workshops.