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Source apportionment of Pb in PM10 from the Upper Meža Vally by the use of advanced analytical techniques

Author(s): Tjaša Žerdoner (Author), Tea Zuliani (Supervisor), Janja Vidmar (Co-Supervisor)

Year: 2025

Type: Doctoral dissertation

Knowledge of the pollution activity at the mining and smelting sites and assessment of contamination levels at different sites is not always sufficient for reliable conclusions regarding lead (Pb) provenance and contributions from sources. Pb isotopes have long been used as ‘fingerprints’ of the source of Pb recorded in environmental …

Identification of hearth sounds for the analysis of cardiac pathology using machine learning

Author(s): David Susič (Author), Anton Gradišek (Supervisor), Matjaž Gams (Co-Supervisor)

Year: 2024

Type: Doctoral dissertation

Cardiovascular diseases (CVDs) are a leading cause of mortality globally, significantly affecting patient quality of life and imposing considerable demands on healthcare systems. Chronic heart failure (CHF), a common outcome of CVDs, represents a growing health burden with an increasing incidence. Accurate and early identification of CVDs is critical for …

Micro and nano plastic in agriculture: interactions with pesticide residues and bioaccumulation in plants

Author(s): Harshit Sahai (Author), María Dolores Hernando Guil (Supervisor), Amadeo R. Fernández-Alba (Co-Supervisor), Ester Heath (Co-Supervisor)

Year: 2024

Type: Doctoral dissertation

A large body of data now exists demonstrating the influence of micro and nano plastics (MNPs) on living systems, and their detection has been documented across various ecosystems, including organisms that form part of the human diet. Nevertheless, up till now, a substantial portion of that research has been confined …

Contact-free physiological monitoring of cardiorespiratory states using radar and optical sensors

Author(s): Gašper Slapničar (Author), Mitja Luštrek (Supervisor), Wenjin Wang (Co-Supervisor)

Year: 2024

Type: Doctoral dissertation

Omnipresence of sensor-equipped devices spurred rapid development of e-health and mhealth applications in the past decades. Despite their wide-spread adoption in the form of wearables, such devices are ultimately not a universal or ideal solution for regular health monitoring due to their reliance on battery, requiring skin contact and general …

Licit and illicit drugs in waste- and environmental waters: epidemiological and environmental implications

Author(s): Taja Verovšek (Author), Ester Heath (Supervisor)

Year: 2023

Type: Doctoral dissertation

The analysis of drug residues in waste and environmental waters offers valuable insights into the epidemiological and environmental implications of drug use. This study employs a wastewater-based epidemiology (WBE) approach to estimate the use of licit and illicit drugs and new psychoactive substances (NPS) among both general and specific populations. …

Characterization of Spirulina microalgae as a new alternative food source

Author(s): Jasmina Masten Rutar (Author), Nives Ogrinc (Supervisor), Polona Jamnik (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

A reduction in agricultural productivity associated with water scarcity and land degradation, combined with the growing world population and malnutrition highlights the need for new alternative food sources. In this challenging field, Spirulina microalgae emerges as a promising candidate thanks to its high nutritional value and beneficial effect on human …

An intelligent cognitive system for computational psychotherapy with a conversational agent for attitude and behavior change in stress, anxiety and depression

Author(s): Tine Kolenik (Author), Matjaž Gams (Supervisor), Günter Schiepek (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

The increasing prevalence of mental health issues worldwide has amplified the significance of computational psychotherapy, which includes creating computational tools for the mental healthcare and tools to support existing mental health professionals. This work presents a computational psychotherapy system that predicts and forecasts mental health issues in users, and utilizes …

In silico approach to understanding the mechanism of action and chemical toxicity prediction on human aromatase enzyme

Author(s): Ana Yisel Caballero Alfonso (Author), Marjana Novič (Supervisor), Emilio Benfenati (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

Aromatase is an enzyme member of the cytochrome P450 superfamily coded by the CYP19A1 gene. Its main biological function in humans is the conversion of androgens into estrogens, transforming androstenedione into estrone and testosterone into estradiol. This enzyme is present in several tissues, and it has a key role in …

New methods for the determination of elemental composition and simple phenolic compounds in atmospheric particulate matter

Author(s): Monika Ogrizek (Author), Martin Šala (Supervisor), Ana Kroflič (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

Air pollution is an inevitable problem that modern society has to face today, with particulate matter (PM) being the most dangerous part of it, threatening human health and the environment. Not all PM particles, however, are equally harmful, since the dangerous potential depends on their size and chemical composition, which …

Predictive exoskeleton control based on probabilistic models

Author(s): Marko Jamšek (Author), Jan Babič (Supervisor)

Year: 2022

Type: Doctoral dissertation

Research and development of exoskeletons for injury prevention and assistance with everyday living has steadily increased in the last decade. With some products already available on the market, a widespread adoption of exoskeletons appears to be within close reach. However, many challenges still remain to be overcome, one of which …