REPOSITORY > RESULTS

Plastic pollution is a global issue, yet our understanding of its impact on organisms and ecosystems remains limited. My PhD thesis explores the presence of microplastics (MP) in river ecosystems, their interaction with freshwater hyporheic biofilms and specifically, the response of hyporheic biofilms to polyethylene terephthalate (PET) pollution in the …

In this doctoral thesis influence of different temperatures (5 °C - 60 °C) on the hydration of belite-ye’elimite-ferrite cement was studied. Fluctuations in temperature can cause changes in the phase assemblage, kinetics of hydration and mechanical properties. Besides temperature, other factors such as the cement clinker phase composition, calcium sulfate …

In recent decades, hydrogen peroxide (H 2 O 2 ) has attracted considerable attention as a n omnipresent analyte, finding applications in clinical studies/diagnos is , biology, environmental protection, atmospheric studies, homeland security, and various analytical methodologies . This dissertation provides valuable insights into three different types of electrochemical sensors …

Rising demands for food, instigated by population growth and urbanization, are calling for advanced agricultural approaches to increase crop yields. However, the expansion of food production should not come with an unmanageable environmental cost. Plant science is therefore challenged to provide sustainable innovations for combating the detrimental effects of unfavourable …

A paradigm shift is occurring in the assessment of exposure to urban environmental stressors. Improved accuracy of personal monitors has enabled researchers to study exposure at the individual level. Monitoring stations are the primary reference point for air quality in urban environments, although there is a need to assess exposure …

The pursuit of autonomous robot learning is aimed at enabling robots to seamlessly integrate into our daily lives, enhancing our efficiency and convenience. On the other hand, in the industrial sector, autonomous robot learning plays a vital role in keeping up with the rapidly evolving market demands. As products and …

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. …

The subject of the doctoral dissertation is the development of coatings with improved protection of metals against corrosion and antifouling protection on structural steel S355 and aluminum alloy AA7075. S355 is a widely used metal in the construction, while AA7075 is mostly used in the transportation industry. Although they exhibit …

Metal oxide and sulfide nanostructures are a versatile family of materials with wide-ranging applications, and their development remains ongoing. In nanoscience, attention is being directed towards their synthesis and further advancement, including the creating of new complex structures and morphologies. In this regard, ion-exchange reactions have emerged as a cutting-edge …

This thesis examines how machine learning can be applied in demand forecasting. In particular, it describes a novel approach toward lumpy and intermittent demand forecasting. It advocates using a two-fold model for forecasting lumpy (irregular demand occurrence, strong demand size variability) and intermittent (irregular demand occurrence, little demand size variability) …