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This doctoral dissertation present research aimed into enhancing polymer-bonded Nd–Fe–B magnets through innovative surface treatments and additive manufacturing techniques, focusing on improving their mechanical strength, magnetic characteristics, and environmental stability. This research is critical for broadening the applicability of these magnets in sectors like green technologies and motion control systems. …

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 dissertation aimed to explore the potential of Sr isotope ratio analysis, combined with multi-elemental profiling, as a tool for geographic discrimination, focusing on two projects: tracing the provenance of cheese/milk from Naxos, Greece (Project 1), and wood in the Eastern Carpathians, Romania (Project 2). The goal was to understand …

A large body of data now exists demonstrating the influence of micro and nano plastics (MNPs) on living systems, and their detection has been documented across various ecosystems, including organisms that form part of the human diet. Nevertheless, up till now, a substantial portion of that research has been confined …

Rapid population growth and increasing water demand places a serious strain on both quantity and quality of available local water resources. Climate change puts additional pressure by altering the water balance, affecting recharge conditions, and contributing to pollution and water degradation. Addressing these issues requires water management strategies that enhance …

As ecological, agricultural, and biological disciplines face mounting challenges like biodiversity loss, food chain disruption, and climate change, leveraging machine learning (ML) to process complex and heterogeneous data becomes increasingly vital. This dissertation explores the potential of ML in combination with explainability approaches for enhancing research in life sciences, specifically …

In the scope of this thesis, I focused on SrTiO3 (ST)-based dielectric ceramic composites as a lead-free perovskite material, which holds great potential for use in various electronic components. Such materials are large-scale and fabricated under high energy requirements, indicating an increasing need for a more environmentally friendly processing method. …

Alzheimer's disease (AD) is the most prevalent form of dementia, ranking as the 7th deadliest world’s disease. Over 99% of cases are triggered by unknown environmental factors. Despite decades of research, the exact cause remains elusive, and effective treatments are yet to emerge. Recent epidemiological evidence strongly links cognitive decline …

Automatic terminology extraction, also known as automatic term extraction (ATE), is a natural language processing (NLP) task that identifies specialized terminology from domain-specific corpora. ATE is often used for terminographic tasks (e.g., the creation of specialized dictionaries) and contributes to several complex downstream tasks (e.g., machine translation and information retrieval). …

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 …