Corporate Performance Management através da integração de Business Intelligence e Business Process Management

Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação

Metabolic profiling and classification of propolis samples from Southern Brazil: an NMR-based platform coupled with machine learning

The chemical composition of propolis is affected by environmental factors and harvest season, making it difficult to standardize its extracts for medicinal usage. By detecting a typical chemical profile associated with propolis from a specific production region or season, certain types of propolis may be used to obtain a specific pharmacological activity. In this study, propolis from three agroecological regions (plain, plateau, and highlands) from southern Brazil, collected over the four seasons of 2010, were investigated through a novel NMR-based metabolomics data analysis workflow. Chemometrics and machine learning algorithms (PLS-DA and RF), including methods to estimate variable importance in classification, were used in this study. The machine learning and feature selection methods permitted construction of models for propolis sample classification with high accuracy (>75%, reaching 90% in the best case), better discriminating samples regarding their collection seasons comparatively to the harvest regions. PLS-DA and RF allowed the identification of biomarkers for sample discrimination, expanding the set of discriminating features and adding relevant information for the identification of the class-determining metabolites. The NMR-based metabolomics analytical platform, coupled to bioinformatic tools, allowed characterization and classification of Brazilian propolis samples regarding the metabolite signature of important compounds, i.e., chemical fingerprint, harvest seasons, and production regions.

Echocardiographic diagnosis of transposition of the great arteries associated with anomalous pulmonary venous connection

We report 2 cases of transposition of the great arteries associated with anomalous pulmonary venous connection emphasizing the clinical findings, the diagnosis, and the evolution of the association. One of the patients had the anomalous pulmonary venous connection in its total infradiaphragmatic form, in the portal system, and the other patient had a partial form, in which an anomalous connection of the left superior lobar vein with the innominate vein existed. At the time of hospital admission, the patients had cyanosis and respiratory distress with clinical findings suggesting transposition of the great arteries. The diagnosis in 1 of the cases, in which the anomalous connection was partial, was established only with echocardiography, without invasive procedures that would represent risk for the patient; in the other case, in which the anomalous connection was total, the malformation was only evidenced with catheterization. The patients underwent surgery for anatomical correction of the heart disease. Only 1 patient had a good outcome.

Connection of Lightning Activity with Air Electrical Conductivity in Dusheti

Some results of investigations of the connection of the parameters of thunderstorm activity with the air electrical conductivity are represented.

Connection Between Surface Ozone Concentration and Visibility in Tbilisi

წარმოდგენილია მიწისპირა ოზონის საშუალოწლიური მონაცემების და სხვადასხვა ბალიანობის ხილვადობის სიშორის მქონე დღეების რიცხვს შორის კორელაციური და რეგრესიული კავშირის გამოკვლევის შედეგები 9, 12 და 15 საათზე დაკვირვებებისათვის.

Neural mechanisms of attentional selection in vision : locations, features, and objects

Magdeburg, Univ., Fak. für Naturwiss., Diss., 2012

Hochdurchsatz-Screeningsystem zur Objekterkennung in Mikroskop-Farbbildern im Rahmen der Analyse pflanzlicher Pathogenresistenz

Color image processing, pattern recognition, machine vision, application

stochastic method for automated matching of horizons across a fault in 3D seismic data

Seismic analysis, horizon matching, fault tracking, marked point process,stochastic annealing

Data mining in diagnostic charts and treatment outcome prediction for vision restoration therapy

Data Mining, Vision Restoration, Treatment outcome prediction, Self-Organising-Map

Robust learning in safety-related domains : machine learning methods for solving safety-related application problems

Magdeburg, Univ., Fak. für Informatik, Diss., 2009

Management of XML data by means of schema matching

Magdeburg, Univ., Fak. für Informatik, Diss., 2010

Machine learning with Lipschitz classifiers

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2010