Without a valid assessment of accuracy there is a risk of data users coming to incorrect conclusions or making bad decision based on inaccurate data. This dissertation proposes a theoretical method for developing data-accuracy metrics specific for any given person-centric integrated system and how a data analyst can use these metrics to estimate the overall accuracy of person-centric data. Estimating the accuracy of Personal Identifiable Information (PII) creates a corresponding need to model and formalize PII for both the real-world and electronic data, in a way that supports rigorous reasoning relative to real-world facts, expert opinions, and aggregate knowledge. This research provides such a foundation by introducing a temporal first-order logic language (FOL), called Person Data First-order Logic (PDFOL). With its syntax and semantics formalized, PDFOL provides a mechanism for expressing data- accuracy metrics, computing measurements using these metrics on person-centric databases, and comparing those measurements with expected values from real-world populations. Specifically, it enables data analysts to model person attributes and inter-person relations from real-world population or database representations of such, as well as real-world facts, expert opinions, and aggregate knowledge. PDFOL builds on existing first-order logics with the addition of temporal predicated based on time intervals, aggregate functions, and tuple-set comparison operators. It adapts and extends the traditional aggregate functions in three ways: a) allowing any arbitrary number free variables in function statement, b) adding groupings, and c) defining new aggregate function. These features allow PDFOL to model person-centric databases, enabling formal and efficient reason about their accuracy. This dissertation also explains how data analysts can use PDFOL statements to formalize and develop formal accuracy metrics specific to a person-centric database, especially if it is an integrated person- centric database, which in turn can then be used to assess the accuracy of a database. Data analysts apply these metrics to person-centric data to compute the quality-assessment measurements, YD. After that, they use statistical methods to compare these measurements with the real-world measurements, YR. Compare YD and YR with the hypothesis that they should be very similar, if the person-centric data is an accurate and complete representations of the real-world population. Finally, I show that estimated accuracy using metrics based on PDFOL can be good predictors of database accuracy. Specifically, I evaluated the performance of selected accuracy metrics by applying them to a person-centric database, mutating the database in various ways to degrade its accuracy, and the re-apply the metrics to see if they reflect the expected degradation. This research will help data analyst to develop an accuracy metrics specific to their person-centric data. In addition, PDFOL can provide a foundation for future methods for reasoning about other quality dimensions of PII.

Yes / Acute kidney injury (AKI) can occur rarely in patients exposed to iodinated contrast and result in contrast-induced AKI (CI-AKI). A key risk factor is the presence of pre-existing chronic kidney disease (CKD), therefore it is important to assess patient risk and obtain kidney function measurement prior to administration. Point of care (PoC) testing provides an alternative strategy but there remains uncertainty, with respect to diagnostic accuracy and clinical utility. A device study compared three PoC analysers (Nova StatSensor, Abbott i-STAT, Radiometer ABL800 FLEX) with a reference laboratory standard (Roche Cobas 8000 series, enzymatic creatinine). Three hundred adult patients attending a UK hospital phlebotomy department were recruited to have additional blood samples for analysis on the PoC devices. The ABL800 FLEX had the strongest concordance with laboratory measured serum creatinine (mean bias=-0.86, 95% limits of agreement = -9.6 to 7.9) followed by the i-STAT (average bias=3.88, 95% limits of agreement = -8.8 to 16.6) and StatSensor (average bias=3.56, 95% limits of agreement = -27.7 to 34.8). In risk classification, the ABL800 FLEX and i-STAT identified all patients with an eGFR≤30, whereas the StatSensor resulted in a small number of missed high-risk cases (n=4/13) and also operated outside of the established performance goals. The screening of patients at risk of CI-AKI may be feasible with PoC technology. However in this study it was identified that the analyser concordance with the laboratory reference varies. It is proposed that further research exploring PoC implementation in imaging department pathways is needed. / Yorkshire and Humber Academic Health Science Network (Grant Number: YHP0318)

The thesis deals with the preparation of joint stock companies on the final accounts, therefore, preparation of financial statements. There are described and listed the various operations to be performed before the closure of the books and then assembling the financial statements. Subsequently, the entire theoretical part of the thesis are applied to the company Inovační technologické centrum - VÚK, a.s..

Bakgrund: Tidigare forskning inom ämnet kroppsbildsuppfattning har till största del utgått från ett patogent perspektiv. Fokus har utgjorts av att eliminera orsaker till en negativ kroppsbild, istället för att försöka förstå hur faktorer som bidrar till en positiv kroppsbild kan främjas, vilket vidare också leder till hälsofrämjande beteenden. I motsats till tidigare forskning var därför föreliggande studies syfte att undersöka om det fanns en korrelation mellan gymnasieungdomars självskattade hälsa och kroppsbildsuppfattning utifrån ett salutogent perspektiv. Studiens metod har byggt på en kvantitativ enkätundersökning som bestod av de validerade mätinstrumenten Salutogenic Health Indicator Scale (SHIS) och Body appreciation scale 2 (BAS-2). SHIS mäter hälsa utifrån ett salutogent perspektiv, medan BAS-2 används för att mäta individens kroppsuppskattning ur ett positivt perspektiv, vilket är en betydande del av en individs kroppsbildsuppfattning. Studiens resultat kunde påvisa en medelstark positiv korrelation (r= 0,468) p=0,001 mellan självskattad hälsa och kroppsuppskattning. Flickor skattade sin hälsa signifikant högre än pojkar (p= 0,003), med 95 % säkerhet (CI= 1,590- 7,853) och hade också en högre kroppsuppskattning än pojkar på en signifikant nivå (p=0,001, 95 % CI= 2,845- 8,062). Konklusion: fortsatt forskning bör studera den subjektiva hälsan i relation till kroppsbildsuppfattning ur ett salutogent perspektiv, för att generera kunskap gällande vilka faktorer det är som gör att det finns en korrelation mellan hälsa och kroppsbildsuppfattning. / Background: Previous research in the subject body image has largely been based on a pathogenic perspective. The focus has been on eliminating causes of a negative body image, instead of trying to understand how factors that contribute to a positive body image can be promoted, which furthermore leads to health promoting behaviors. In contrast to previous research, the purpose of the present study was therefore to investigate whether there was a correlation between high school students' self-estimated health and body image from a salutogenic perspective. The study's method has been based on a quantitative survey that consisted of the validated measuring instruments Salutogenic Health Indicator Scale (SHIS) and Body appreciation scale 2 (BAS-2). SHIS measures health from a salutogenic perspective, while BAS-2 is used to measure an individual's body appreciation from a positive perspective, which is a significant part of an individual's body image. The study's results showed a positive correlation (r = 0.468) p = 0.001 between self-estimated health and body appreciation. Girls estimated their health significantly higher than boys (p = 0.003), with 95% certainty (CI = 1.590-7.853) and had a higher body appreciation than boys at a significant level (p = 0.001, 95% CI = 2,845-8,062). Conclusion: further research should study the subjective health in relation to body image from a salutogenic perspective, in order to generate knowledge regarding which factors that causes a correlation between health and body image.

Afin de faire face aux nouveaux challenges de l’industrie automobile, les ingénieurs souhaitent appliquer des méthodes d’optimisation à chaque étape du processus de conception. En élargissant l’espace de conception aux paramètres de forme, en augmentant leur nombre et en étendant les plages de variation, de nouveaux verrous sont apparus. C’est le cas de la résistance aux chocs. Avec les temps de calcul long, la non-linéarité, l’instabilité et la dispersion numérique de ce problème de dynamique rapide, la méthode usuellement employée, l’optimisation par plan d’expériences et surfaces de réponse, devient trop coûteuse pour être utilisée industriellement. Se pose alors la problématique suivante : Comment faire de l’optimisation de forme en dynamique rapide avec un nombre élevé de paramètres ?. Pour y répondre, les méthodes d’optimisation par gradient s’avèrent être les plus judicieuses. Le nombre de paramètres a une influence réduite sur le coût de l’optimisation. Elles permettent donc l’optimisation de problèmes ayant de nombreux paramètres. Cependant, les méthodes classiques de calcul du gradient sont peu pertinentes en dynamique rapide : le coût en nombre de simulations et le bruit empêchent l’utilisation des différences finies et le calcul du gradient en dérivant les équations de dynamique rapide n’est pas encore disponible et serait très intrusif vis-à-vis des logiciels. Au lieu de déterminer le gradient, au sens classique du terme, des problèmes de crash, nous avons cherché à l’estimer. L’Equivalent Static Loads Method est une méthode permettant l’optimisation à moindre coût basée sur la construction d’un problème statique linéaire équivalent au problème de dynamique rapide. En utilisant la dérivée du problème équivalent comme estimation du gradient, il nous a été possible d’optimiser des problèmes de dynamique rapide ayant des épaisseurs comme variables d’optimisation. De plus, si l’on construit les équations du problème équivalent avec la matrice de rigidité sécante, l’approximation du gradient n’en est que meilleure. De cette manière, il est aussi possible d’estimer le gradient par rapport à la position des nœuds du modèle de calcul. Comme il est plus courant de travailler avec des paramètres CAO, il faut déterminer la dérivée de la position des nœuds par rapport à ces paramètres. Nous pouvons le faire de manière analytique si nous utilisons une surface paramétrique pour définir la forme et ses points de contrôle comme variables d’optimisation. Grâce à l’estimation du gradient et à ce lien entre nœuds et paramètres de forme, l’optimisation de forme avec un nombre important de paramètres est désormais possible à moindre coût. La méthode a été développée pour deux familles de critères issues du crash automobile. La première est liée au déplacement d’un nœud, objectif important lorsqu’il faut préserver l’intégrité de l’habitacle du véhicule. La seconde est liée à l’énergie de déformation. Elle permet d’assurer un bon comportement de la structure lors du choc. / In order to face their new industrial challenges, automotive constructors wish to apply optimization methods in every step of the design process. By including shape parameters in the design space, increasing their number and their variation range, new problematics appeared. It is the case of crashworthiness. With the high computational time, the nonlinearity, the instability and the numerical dispersion of this rapid dynamics problem, metamodeling techniques become to heavy for the standardization of those optimization methods. We face this problematic: ”How can we carry out shape optimization in rapid dynamics with a high number of parameters ?”. Gradient methods are the most likely to solve this problematic. Because the number of parameters has a reduced effect on the optimization cost, they allow optimization with a high number of parameters. However, conventional methods used to calculate gradients are ineffective: the computation cost and the numerical noise prevent the use of finite differences and the calculation of a gradient by deriving the rapid dynamics equations is not currently available and would be really intrusive towards the software. Instead of determining the real gradient, we decided to estimate it. The Equivalent Static Loads Method is an optimization method based on the construction of a linear static problem equivalent to the rapid dynamic problem. By using the sensitivity of the equivalent problem as the estimated gradient, we have optimized rapid dynamic problems with thickness parameters. It is also possible to approximate the derivative with respect to the position of the nodes of the CAE model. But it is more common to use CAD parameters in shape optimization studies. So it is needed to have the sensitivity of the nodes position with these CAD parameters. It is possible to obtain it analytically by using parametric surface for the shape and its poles as parameters. With this link between nodes and CAD parameters, we can do shape optimization studies with a large number of parameters and this with a low optimization cost. The method has been developed for two kinds of crashworthiness objective functions. The first family of criterions is linked to a nodal displacement. This category contains objectives like the minimization of the intrusion inside the passenger compartment. The second one is linked to the absorbed energy. It is used to ensure a good behavior of the structure during the crash.

Submitted by Angela Maria de Oliveira (amolivei@uepg.br) on 2017-11-30T10:57:51Z No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Douglas Tomachewski.pdf: 4287227 bytes, checksum: 4ee4e1b519755860efa6f01d55b3569f (MD5) / Made available in DSpace on 2017-11-30T10:57:51Z (GMT). No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Douglas Tomachewski.pdf: 4287227 bytes, checksum: 4ee4e1b519755860efa6f01d55b3569f (MD5) Previous issue date: 2017-09-04 / A identificação de microrganismos, nas áreas da saúde e agricultura, é essencial para compreender a composição e o desenvolvimento do meio. Novas técnicas estão buscando identificar estes microrganismos com mais acurácia, rapidez e com menor custo. Uma técnica cada vez mais estudada e utilizada atualmente é a identificação de microrganismos através de espectros de massa, gerados por uma espectrometria de massa. Os espectros de massa são capazes de gerar um perfil para reconhecimento de um microrganismo, utilizando os picos referentes às mais abundantes massas moleculares registradas nos espectros. Analisando os picos pode-se designar um padrão, como uma impressão digital, para reconhecer um microrganismo, esta técnica é conhecida como PMF, do inglês Peptide Mass Fingerprint. Outra forma de identificar um espectro de massa, é através dos picos que são esperados que se apresentem no espectro, modelo qual este trabalho utilizou. Para prever os picos esperados no espectro, foram calculados os pesos moleculares estimados de proteínas ribossomais. Essas proteínas são denominadas house keeping, ou seja são presentes para o próprio funcionamento celular. Além de apresentarem grande abundância no conteúdo procariótico, elas são altamente conservadas, não alterando sua fisiologia para diferentes meios ou estágios celulares. Os pesos estimados formaram uma base de dados presumida, contendo todas as informações obtidas do repositório do NCBI. Esta base de dados presumida foi generalizada para taxonomia a nível de espécie, e posteriormente submetida à um aprendizado de máquina. Com isso foi possível obter um modelo classificatório de microrganismos baseado em valores de proteínas ribossomais. Utilizando o modelo gerado pelo aprendizado de máquina, foi desenvolvido um software chamado Ribopeaks, capaz classificar os microrganismos a nível de espécie com acurácia de 94.83%, considerando as espécies correlatas. Também foram observados os resultados a nível taxonômico de gênero, que obteve 98.69% de assertividade. Valores de massas moleculares ribossomais biológicas retiradas da literatura também foram testadas no modelo obtido, obtendo uma assertividade total de 84,48% para acertos em nível de espécie, e 90,51% de acerto em nível de gênero. / Identification of microorganisms in health and agriculture areas is essential to understand the composition and development of the environment. New techniques are seeking to identify these microorganisms with more accuracy, speed and at a lower cost. Nowadays, a technique that is increasingly studied and used is the identification of microorganisms through mass spectra, generated by mass spectrometry. The mass spectra are able to generate a recognition profile from a microorganism, using the referring peaks to the most abundant molecular masses recorded in the spectrum. By analyzing the peaks, it is possible to designate a pattern, such as a fingerprint, to recognize a microorganism; this technique is known as the Peptide Mass Fingerprint (PMF). Another way to identify a mass spectrum is through the peaks that are expected to appear in the spectrum, which model this work used. To predict the expected peaks in the spectrum, the estimated molecular weights of ribosomal proteins were calculated. These proteins are responsible for the cellular functioning itself, so-called housekeeping. Besides they being abundant in the prokaryotic content, they are highly conserved, not altering their physiology to different environments or cell stage. The estimated weights formed a presumed database, containing all the information obtained from the NCBI’s repository. This presumed database was generalized at the specie level and later submitted to a machine learning algorithm. With this, it was possible to obtain a microorganism’s classificatory model based on ribosomal proteins values. Using the generated model by the machine learning, a software called Ribopeaks was developed to classify the microorganisms at the specie level with an accuracy of 94.83%, considering the related species. It was also observed the results at genus level, which obtained 98.69% of assertiveness. Values of biological ribosomal molecular masses from the literature were also tested in the acquihired model, obtaining a total assertiveness of 84.48% at the specie level, and 90.51% at the genus level.

Made available in DSpace on 2016-03-15T19:46:38Z (GMT). No. of bitstreams: 1 Tania Regina Exposito Ferreira.pdf: 689773 bytes, checksum: 2eb058002c5e281a1e1b95c2c4f1bf62 (MD5) Previous issue date: 2008-02-11 / Fundo Mackenzie de Pesquisa / Which is the Luiz Inácio Lula da Silva s secret? Poor man, migrant northeastern, born in Garanhuns, arrived the São Paulo and, as the majority of the migrant of this region, he had to fight for the survival, being successful each stage until obtaining the highest post in the national hierarchy, of president of the Republic of Brazil. His trajectory intrigues much people. His speaches always had dragged multitudes that believed and believe his speach. He was metallurgist, after that leader syndical pronouncing its speeches in the doors of the plants, was chosen president of the Party of the Workers, elect representative for the people and it the position highest of this country. It intends this research, supported in the analysis of the discursive process and in the literal production, to point the contradictions at two different moments of the speeches of Squid. It has as analysis object two interviews given for it, the first one when Squid, while leader syndicalist, is interviewed by Milton Neves regarding impeachment of then president Fernando Collor de Mello; second, when Squid, already in the presidency, is interviewed in the National Periodical of the Globe in face of the irregularities, committed in its government, that could induce to a probable order of impeachment to its mandate. Under the perspective of the Analysis of Speech of French line, the lexicon, the distinct conditions of production of the speech, formations ideological and discursive and estimated and implied or said and not-said, that they will allow to perceive the two different enunciators, disclosing two discursives processes will be examined, discoursing on the same subject. For in such a way they will serve of support the studies of: Brandão (2004), Orlandi (2005) and Osakabe (1979), these that will guide the search of other bibliographical references. / Qual seria o segredo de Luiz Inácio Lula da Silva? Homem pobre, migrante nordestino, nascido em Garanhuns, chegou a São Paulo e, como a maioria dos migrantes desta região, teve que lutar pela sobrevivência, vencendo cada etapa até conseguir o mais alto posto na hierarquia nacional, o de presidente da República do Brasil. Sua trajetória intriga muita gente. Seus discursos sempre arrastaram multidões que acreditavam e acreditam na sua fala . Foi metalúrgico e, posteriormente, líder sindical, proferindo seus discursos nas portas das fábricas, foi escolhido presidente do Partido dos Trabalhadores, eleito deputado Federal pelo povo e alçou-se ao cargo mais alto deste país. Pretende esta pesquisa, apoiada na análise do processo discursivo e na produção textual, analisar o processo discursivo do presidente Luiz Inácio Lula da Silva, a partir de entrevistas a alguns jornalistas. Tem como objeto de análise duas entrevistas dadas por ele, na primeira, Lula, líder sindicalista, é entrevistado por Milton Neves a respeito do impeachment do então presidente Fernando Collor de Mello; na segunda, já na presidência, Lula é entrevistado pelo Jornal Nacional da Rede Globo em face das irregularidades cometidas no seu governo, que poderiam induzir a um provável pedido de impeachment ao seu mandato. Sob a perspectiva da Análise de Discurso de linha francesa, serão identificadas as condições de produção do discurso, as formações ideológica e discursiva e os pressupostos e subentendidos, ou o dito e o não-dito, que permitirão perceber dois diferentes enunciadores, revelando dois processos discursivos distintos, discorrendo sobre o mesmo assunto. Para tanto, servirão de apoio os estudos de: Brandão (2004), Orlandi (2005) e Osakabe (1979), que nortearão a busca de outras referências bibliográficas.

This thesis establishes an information system which combines three credit risk models through Service-Oriented Architecture (SOA). The system requires the bank user inputting finance-related data and selecting options to generate a series of credit risk related results, including the probabilities of default, the recovery rates, the expected market value of assets, the volatilities of the expected market value of assets, the default points, the default distances, and four indexes from principal components analyses. In addition to exhibiting the numerical results, graphical results are also available for the user. Three credit risk models joining this system are the Moody¡¦s KMV Model with Default Point Modified, the Risk-Neutral Probability Measure Model, and the Time-Varying Jointly Estimated Model. Several previous researches have demonstrated the validity of these credit risk models, hence the purpose of this study is not to examine the practicability of these models, but to see if these models are capable of connecting each other effectively and eventually establishing a process to evaluate the credit risk of enterprises and industries by the use of testing samples. Testing samples are data from Taiwan Small and Medium Enterprise Credit Guarantee Fund. The finance-related data includes the loan amounts, the book value of assets, the data used to calculate the default point threshold (such as the short-term debt and the long-term debt), and the financial ratios with regard to growth ability (such as the revenue growth rate and the profit growth rate before tax), operation ability (such as the accounts receivable turnover rate and the inventory turnover rate), liability-paying ability (such as the current ratio and the debt ratio), and profitability (such as the return on assets and the return on equity). In addition to inputting the finance-related data, the system also require the user selecting the industrial category, the default point threshold, the way data being weighted, the data period, and the borrowing rates from the option page for every enterprise in order to acquire the results. Among the computing process, user is required to select weighted average method, either weighted by loan amounts or weighted by market value of assets, to obtain ¡§the weighted average probability of default of the industry¡¨ and ¡§the weighted average recovery rate of the industry¡¨ which are both used by the Time-Varying Jointly Estimated Model. This study also makes use of quartiles to simulate the situation when the user is near the bottom and top of the business cycle. Furthermore, the ¡§Supremum Strategy¡¨ and the ¡§Infimum Strategy¡¨ are added to this study to let the user realize the best condition and the worse condition of the ¡§Time-Varying Industrial Marginal Probabilities of Default¡¨.

Magistro darbe, remiantis Lietuvos ir užsienio autorių moksliniais darbais, išanalizuotas vartotojų elgsenos objektas kitų mokslų atžvilgiu, susistemintos vartotojų elgsenos modeliavimo koncepcijos, atskleisti vartotojų elgseną lemiantys veiksniai, kurie daro įtaką sprendimo pirkti priėmimo procesui. Pateiktas vartotojų elgsenos tyrimo metodologijos pagrindimas bei atskleistos UAB „Juodasis gintaras“ vartotojų elgsenos veiksnių, turinčių įtakos sprendimo pirkti priėmimo procesui, tyrimo projektavimo ir organizavimo procedūros. Identifikuoti ir įvertinti pagrindiniai UAB „Juodasis gintaras“ vartotojų elgsenos veiksniai, turintys įtakos sprendimo pirkti priėmimo procesui. Patvirtinta suformuluota mokslinio tyrimo hipotezė, kad vartotojų sprendimo pirkti procesas įtakojamas daugelio veiksnių, kuriuos reikia analizuoti „holistiniu“ požiūriu. / In Master’s work, on the ground of analysis of scholarly sources, there is analyzed object, given system of models and revealed determinants of consumer behaviour. The paper presents consumer behaviour research methodology and gives procedures on planning and organizing the processes which the consumer goes through to decide upon his/her actions. There have been identified and estimated main factors which influence consumer decision making process in JSC “Juodasis gintaras”. According to the research results, the hypothesis that the buyer decision making process, which depends on a lot of factors, should have holistic analysis has been confirmed.

Baigiamajame darbe projektuojamas logistikos centras „AUTOARENA“, kuris bus statomas Išradėjų g. 6, Šiauliuose. Pastatą sudaro trys pagrindinės funkcinės zonos: garažų, sandėlio ir administracinių patalpų. Pastato bendras plotas 2135,8 m2. Pastatas priskiriamas prie ypatingos paskirties statinių. Architektūrinėje dalyje pateikti bendri statinio rodikliai, techniniai-tūriniai sprendimai bei rekomendacijos. Konstrukcinėje dalyje pateikti 4 konstrukcijų skaičiavimai pagal standartus LST bei techninius Reglamentus STR. Technologinėje dalyje pateikti medžiagų žiniaraščiai bei savaeigio krano parinkimas. Prieduose pateikta šilumos laidumo koeficientų skaičiavimas, konstrukcinės dalies skaičiavimo kompiuterine programa, „Robot Structural Analysis Professional 2011“, ataskaitos bei lokalinė objekto sąmata, kuri suskaičiuota „ProsSama5g“ programa. / In this final work designed logistic center „AUTOARENA“, which will be build in Išradėjų st. 6, Šiauliai. The building consists of 3 main function zone: garages, store and office space. The total area of building 2135,8 m2. The building is assigned to special purpose buildings group. The architectural part presents general indicators of the structure, technical-content solutions and recommendations. Structural part consist 4 structures calculations in accordance with standards LST and technical Regalement STR. The technological part to provide material sheets and self-propelled crane selection. Annexes contain heat transfer coefficient calculation, design calculation of a computer program, "Robot Structural Analysis Professional 2011, localized estimate of building which calculated with “ProsSama5g” program.