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Laser Ablation - Inductively Coupled Plasma Mass Spectrometry (LA-ICPMS) - Fundamental Study of Ablation and Deposition Processes

Author(s): Mersida Janeva Azdejković (Author), Spomenka Kobe (Supervisor), Alkiviadis Constantinos Cefalas (Co-Supervisor), J. T. van Elteren (Co-Supervisor)

Year: 2012

Type: Doctoral dissertation

Laser ablation (LA) is a versatile technique that can be used for the elemental analysis of diverse materials as well as for synthesis purposes, i.e. for pulsed laser deposition (PLD) of a wide range of materials. Analysis and synthesis will only be successful if the ablated material can be stoichiometrically …

A Machine Learning Approach to Polynomial Regression

Author(s): Aleksandar Pečkov (Author), Sašo Džeroski (Supervisor), Ljupčo Todorovski (Co-Supervisor)

Year: 2012

Type: Doctoral dissertation

In the thesis, we address the task of polynomial regression, i.e., inducing regression models based on polynomial equations, from data. We aim at improving and extending the existing approaches to learning polynomial regression models in several directions. First, we improve the existing methods for addressing the issue of over-fitting and …

Algorithms for Learning Regression Trees and Ensembles on Evolving Data Streams

Author(s): Elena Ikonomovska (Author), Sašo Džeroski (Supervisor), João Gama (Co-Supervisor)

Year: 2012

Type: Doctoral dissertation

In this thesis we address the problem of learning various types of decision trees from timechanging data streams. In particular, we study online machine learning algorithms for learning regression trees, linear model trees, option trees for regression, multi-target model trees, and ensembles of model trees from data streams. These are …

Low-temperature sintering of piezoelectric K0.5Na0.5NbO3 ceramics

Author(s): Janez Bernard (Author), Barbara Malič (Supervisor), Andreja Benčan Golob (Co-Supervisor)

Year: 2012

Type: Doctoral dissertation

The KNN solid solution was prepared from pre-synthesized binary compounds of, sodium and potassium niobate in a 1/1 molar ratio. The KNG sintering aid was prepared by homogenizing the pre-reacted binary mixtures of alkaline reagents and germanium oxide with the Na/Ge = 1/1 and K/Ge = 1/1 molar ratios. The …

Role and significance of cysteine cathepsins in TRAIL induced apoptosis

Author(s): Aleš Špes (Author), Vito Turk (Supervisor), Boris Turk (Co-Supervisor)

Year: 2012

Type: Doctoral dissertation

Apoptosis is an innate mechanism by which a multicellular organisms eliminates unwanted, damaged and potentially harmful cells. During apoptosis inflammation of the surrounding tissues is prevented. Defects in an apoptotic signaling can lead to numerous pathological conditions. Apoptosis is mediated through two main pathways, the extrinsic or the death receptor …

A Modular Ontology of Data Mining

Author(s): Panče Panov (Author), Sašo Džeroski (Supervisor)

Year: 2012

Type: Doctoral dissertation

The domain of data mining (DM) deals with analyzing different types of data. The data typically used in data mining is in the format of a single table, with primitive datatypes as attributes. However, structured (complex) data, such as graphs, sequences, networks, text, image, multimedia and relational data, are receiving …

Synthesis and functionalisation of one-dimensional titanate-based nanostructures

Author(s): Ines Bračko (Author), Danilo Suvorov (Supervisor), Boštjan Jančar (Co-Supervisor)

Year: 2012

Type: Doctoral dissertation

One-dimensional hydrothermally synthesized nanostructures such as nanotubes and nanobelts composed of layered titanates from A2TinO2n+1 family have attracted great interest due to their high specific surface area, ion-exchange ability and semiconducting properties, which make them promising candidates for potential applications in the field of catalysis, gas sensors, dye-sensitized solar cells, …

An Evaluation Method for Feature Rankings

Author(s): Ivica Slavkov (Author), Sašo Džeroski (Supervisor)

Year: 2012

Type: Doctoral dissertation

Feature ranking is the machine learning task of inducing an ordering of features in a given dataset according to some notion of relevance. We consider the feature ranking task in the context of supervised learning, where the notion of feature relevance is defined with respect to a target concept. Feature …

Determination of steroid estrogens in environmental samples using chemical analysis (GC-MSD) and an in vitro estrogenicity assay (ER-Calux®)

Author(s): Miha Avberšek (Author), Ester Heath (Supervisor), Janez Ščančar (Co-Supervisor)

Year: 2012

Type: Doctoral dissertation

The presence of steroid estrogens in the environment has been studied intensively for two decades because of their possible deleterious effects on living organisms at very low (ng/L) concentrations. To determine concentrations of steroid estrogens and the estrogenic potential of environmental samples, sophisticated and sensitive analytical techniques as well as …

Optimization of coupling between high-frequency generator and low pressure plasma

Author(s): Rok Zaplotnik (Author), Miran Mozetič (Supervisor), Alenka Vesel (Co-Supervisor)

Year: 2012

Type: Doctoral dissertation

In this thesis we present the development of the device for the removal of carbon deposits in fusion reactors. Amorphous hydrogenated carbon deposits (a-C:H) represent a major problem for smooth operation of future fusion reactors with divertors containing carbon tiles, because they cause retention of radioactive tritium. There are techniques …