Search Results (286)
Removal of contaminants of emerging concern using algal photobioreactors
Contaminants of emerging concern (CEC) are organic pollutants occurring in wastewater and consequently enter the environment. An alternative to conventional wastewater treatment are algal photobioreactors, which treat wastewater with low energy input while producing nutrient- and energy-rich algal biomass and treated water, which both have the potential to be reused. …
In silico approaches to understand and predict the ligand-binding interactions of the human P-glycoprotein (ABCB1) membrane transporter
The P-glycoprotein (P-gp) is responsible for the elimination of a wide variety of substances from the cell, thus it is thought to play an important role in detoxification functions. The P-gp also affects the ADMET (absorption, distribution, metabolism, excretion, and toxicity in pharmacokinetics) properties of drugs. It is involved in …
The sensor hub for detection of the relation between physiological parameters and colour modifications in text background and overlay during reading in children with and without dyslexia
The doctoral dissertation discusses the mechanisms of the colours’ influence on the reading process and electrophysiological correlates of the reader's condition, considering developmental aspects, graded (level) aspects and gender aspects of tested groups of children and their reading acquisition. The reading process is one of the most important processes during …
Classification of wireless links using machine learning techniques
Due to the nature of the wireless transmission medium, wireless communications are characterised by notably larger losses of data packets than wired communications. The quality of wireless links is highly dependent on channel variations, interference and even transceiver imperfections. Such link uncertainty instigated the development of numerous techniques that can …
Inactivation of viruses in water by cold atmospheric plasma
Access to clean water is a key requirement for a good quality of life. However, due to climate change, population growth and lack of proper water treatment, the availability of clean water is in constant decline. Among the many waterborne contaminants, viruses present an increasing concern. Human waterborne viruses infect …
Predicting the dynamics of spatio-temporal systems based on heterogeneous data sources
As urbanisation continues to be a trend, in which centralisation of the population into cities is still growing, the importance of intelligent solutions in mobility is in high demand. Likewise, with the integration of renewable energies into all levels of the electrical grid system and the increasing amount of heavy …
Charge compensation mechanisms and twinning in doped SnO2-based ceramics
Tin (IV) oxide, SnO2 (cassiterite), is an n-type semiconductor with an advantageous combination of chemical, electric and optical properties that make it suitable for a range of applications, from solid-state gas sensors, transparent conductive coatings, oxidation catalysts and varistors. In varistor ceramics, grain growth studies are of particular interest, because …
Surfaces and interfaces in the growth of SrTiO3 on Si by pulsed laser deposition
SrTiO3 (STO) thin films are used as buffer layers that enable epitaxial integration of various functional oxides with silicon. When pulsed laser deposition (PLD) is used to grow STO on Si, a thin amorphous layer is formed at the STO-Si interface that limits the use of such heterostructures in certain …
Parametrična in neparametrična metoda za nastavljanje parametrov PI/PID regulatorjev za integrirne procese na podlagi amplitudnega optimuma
Integrating systems are commonly found in power and paper mills, aerospace control systems, storage tanks, distillation columns, chemical reactors, and petroleum industries. Due to their open-loop instability resulting in an unconstrained output for a constrained input, efficient control of integrating processes is challenging. Control of integrating processes has attracted the …
Learning of dynamic movement primitives with deep neural networks
Robots that are supposed to perform human-like tasks must possess appropriate skills to carry them out. In unstructured environments and for complex tasks, these skills are difficult to pre-program due to the complexity of the real world. It is therefore advantageous if robots have the ability to acquire the necessary …