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During space sojourns, astronauts experience musculoskeletal deconditioning caused by the lack of gravity. The adaptation of the musculoskeletal system to inactivity and unloading of the weight-bearing limbs may be countered by daily exercise. However, current exercise devices and strategies employed on the International Space Station (ISS) do not appear to …

This dissertation examines the ecological dynamics of phytoplankton communities in the northern Adriatic Sea, focusing on phenology, environmental drivers, and trophodynamics. The complexity of the region, characterized by the richness of phytoplankton communities, environmental variability and intensive human activities, is not seen as an obstacle but as an opportunity to …

Fluorine, though abundant on Earth, is not readily available in a form suitable for organic synthesis. While fluoride salts like fluorite exist, they have limited reactivity due to solubility properties. Converting fluorite to hydrofluoric acid (HF) or fluorine gas (F2) increases reactivity but introduces significant safety concerns due to the …

Water scarcity is becoming a greater issue worldwide due to ever-increasing anthropogenic activity. A dedicated effort is required to recover and maintain the purity of our water resources and has created an environment for developing better technologies to tackle this issue. Low-pressure gaseous plasma, consisting of a complex mixture of …

Magnetic resonance imaging (MRI) is a diagnostic method that is used for broad range of hospitalized patient, emergency patients, chemotherapy treated and as well the patients that may have infectious diseases. Because the examinations of different patients are usually performed with the same equipment in the same environment, the surfaces …

This thesis investigates two distinct but related optimization problems: bilevel and minmax problems, in the context of evolutionary algorithms (EAs). Bilevel optimization involves hierarchical decision-making, where decisions at the upper level are subject to constraints defined by the solutions of an optimization problem at the lower level. These problems are …

Cardiovascular diseases (CVDs) are a leading cause of mortality globally, significantly affecting patient quality of life and imposing considerable demands on healthcare systems. Chronic heart failure (CHF), a common outcome of CVDs, represents a growing health burden with an increasing incidence. Accurate and early identification of CVDs is critical for …

Hydrogen is a promising energy carrier in the emerging green energy landscape. It is environmentally friendly, transportable, and storable. The Solid Oxide Cell (SOC) system is a complex technology that enables the bidirectional conversion of hydrogen to energy. The label SOC entails solid oxide fuel cell (SOFC) systems, which produce …

This thesis introduces a new optimization method based on deep learning, designed for data influenced by random processes. The main contribution of this method is the combination of advanced noise reduction techniques with recurrent neural network models, which helps to prevent the common problem of overfitting seen when there is …

This thesis investigates machine learning methods for analyzing sequential textual data. Sequential textual data refers to text collected in a specific order where the sequence is significant. Examples include (1) sentences, where word usage and order must adhere to the rules of grammar, (2) news reporting on events happening at …