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Identification of indoor radio environment properties based on channel state information using machine learning approaches

Author(s): Teodora Kocevska (Author), Andrej Hrovat (Supervisor), Aleksandra Rashkovska Koceva (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

Characterization of the indoor radio environment (RE) is a prerequisite for advances in the design and optimization of next-generation indoor wireless networks and for the construction of a digital twin of the building. The need for comprehensive and accurate indoor characterization will be evident in the future hyper-connected mixed real-virtual …

The effect of surface roughness on erosion yields and distribution of impurities on fusion relevant materials

Author(s): Mitja Kelemen (Author), Sabina Markelj (Supervisor), Primož Pelicon (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

Plasma facing components (PFC) in fusion devices are exposed to plasma. Plasma-wall interaction processes are important as they impose a series of constraints on the components. The lifetime of the PFCs is dominantly determined by two processes: erosion and fuel retention. At the first wall the erosion is caused by …

Investigation of the environmental acceptability of geotechnical composites, made from different recycled materials investigation of the environmental acceptability of geotechnical composites, made from different recycled materials

Author(s): Marija Đurić (Author), Janez Ščančar (Supervisor), Ana Mladenovič (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

Current and especially past industrial and mining activities, including underground and open pit mining, have often resulted in soil pollution that has become a global and alarming environmental problem. Among contaminants, heavy metals and metalloids are under environmental scrutiny due to their potential toxicity, persistence, and because they can be …

Interactions of azole molecules with copper ions and copper surfaces covered with chemisorbed H, O, Oh or Cl

Author(s): Matjaž Dlouhy (Author), Anton Kokalj (Supervisor)

Year: 2023

Type: Doctoral dissertation

In real environments, copper and other metal surfaces are never clean. Even during active dissolution in corrosion, they are likely to be covered with adsorbed corrosion-relevant species such as O, OH, H, and Cl. To explore the impact of such species on the bonding of imidazole, used herein as an …

Microstructural analysis and evaluation OF W and W/W2C composites for fusion application

Author(s): Andreja Šestan (Author), Miran Čeh (Supervisor), Saša Novak Krmpotič (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

Fusion technology has a great potential to safely provide an inexhaustible quantity of electricity without producing greenhouse gases and minimal hazardous waste compared to conventional energy sources, such as nuclear power plants. For materials intended for fusion plasma-facing applications, the essential properties are structural stability at elevated temperature, adequate thermal …

Validation of peptides as protein substrate models for specificity studies of cysteine cathepsins

Author(s): Jure Loboda (Author), Dušan Turk (Supervisor)

Year: 2023

Type: Doctoral dissertation

Cysteine cathepsins are endosomal proteases that are involved in lysosomal protein degradation. Additionally, they engage in specific biological processes, like bone degradation (CatK), antigen presentation (CatS) and pro-hormone processing (CatV and CatL). Their enhanced activity was described in numerous pathological states, like cancer and viral activation, which made them promising …

Use of hydrated glass for synthesis of waste-based foamed glass

Author(s): Uroš Hribar (Author), Jakob König (Supervisor)

Year: 2023

Type: Doctoral dissertation

Thermal insulation materials have a strong impact on energy efficiency of buildings which are one of the main energy consumers in the EU. Thermal insulation materials are widely used and improving their properties or improving their production can therefore have a rapid impact on the efficient use of energy in …

Simulation of approximated Gaussian process autoregressive models

Author(s): Tadej Krivec (Author), Juš Kocijan (Supervisor)

Year: 2023

Type: Doctoral dissertation

This thesis presents the simulation of approximated Gaussian process autoregressive models. Gaussian process models are a Bayesian nonparametric regression method, the main advantage of which is the quantification of uncertainty in closed-form. However, the closedform solution for the marginal likelihood results in a cubic computational complexity with respect to the …

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 …

Advanced glioblastoma models to study tumour microenvironment and to support novel glioblastoma therapeutics

Author(s): Bernarda Majc (Author), Tamara Lah Turnšek (Supervisor), Metka Novak (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

Glioblastoma (GB) is the most common and aggressive primary tumour of the central nervous system. Despite maximal possible surgical resection of the tumours and aggressive treatment regimens with radiotherapy and chemotherapy, patient overall survival is less than 2 years, as patients eventually develop resistance to therapy, resulting in recurrent tumours. …