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Interplay between autophagy and lipid droplets in starving cancer cells

Author(s): Maida Jusović (Author), Toni Petan (Supervisor)

Year: 2024

Type: Doctoral dissertation

Lipid droplets (LDs) are intracellular organelles that store lipids, mainly triacylglycerols (TAGs) and sterol esters. LDs were initially considered just inert fat reservoirs but have now been identified as critical players in the cellular stress response, especially in cancer cells. In response to various kinds of stress, including nutrient deprivation …

Tracing mercury in the wider Idrija region using stable isotopes

Author(s): Dominik Božič (Author), Milena Horvat (Supervisor), Marko Štrok (Co-Supervisor)

Year: 2024

Type: Doctoral dissertation

Mercury, a toxic element, known for its physical and chemical properties, spreads throughout the environment and is found in various ecosystems, including water, air, soil, and biological systems. The natural mercury cycle begins beneath the earth's crust, where it rises to the surface and is released into the air through …

Characterization of constrained continuous multiobjective optimization problems

Author(s): Aljoša Vodopija (Author), Bogdan Filipič (Supervisor)

Year: 2024

Type: Doctoral dissertation

Despite the large volume of recently published papers in the field of constrained multiobjective optimization, the understanding and characterization of constrained multiobjective optimization problems (CMOPs) for benchmarking multiobjective evolutionary algorithms (MOEAs) and the related constraint handling techniques (CHTs) remain unsatisfactory. Therefore, selecting appropriate CMOPs for benchmarking is challenging and lacks …

Towards understanding the impact of problem landscapes in numerical black-box optimization

Author(s): Urban Škvorc (Author), Peter Korošec (Supervisor), Tome Eftimov (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

In optimization, it is well known that algorithm performance is dependent on the problem being solved. As a consequence of this, achieving good optimization results requires correctly matching an optimization problem to a specific optimization algorithm that performs well on that problem. For this to be possible, knowledge of both …