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 …
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 …
This thesis focuses on the fate of chosen antidepressants in the environment. Studied compounds belong to the class of selective serotonin reuptake inhibitors. Reportedly they do not completely mineralize by existing water treatment processes and their residues cause unwanted toxic effects in aquatic organisms. However, to date, insufficient information has …
Managers’ commitment to safety has been recognised as a focal concept that can play an important role as organisations strive to improve safety performance and prevent major accidents (Flin, 2003; Flin & Yule, 2004). When management is committed to safety, this shows employees that safety is an important value to …
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 …
The determination of genotoxicity is an important element in the safety assessment of various substances, with the purpose of preventing a number of chemicals from affecting human health. Genotoxicity testing is required for all classes of chemicals, drugs and biological agents, which can lead to a wide range of diseases, …
Feature ranking is the machine learning task of inducing an ordering of features in a given dataset according to some notion of relevance. We consider the feature ranking task in the context of supervised learning, where the notion of feature relevance is defined with respect to a target concept. Feature …