Search Results (20)
Synthesis and investigation of organofluorosilicate and organofluorogermanate species
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 …
Bias prediction in multilingual news reporting
Over the past decade, rapid advancements in natural language processing have opened up new avenues for tackling complex issues such as news bias analysis. This progress has empowered researchers to explore innovative approaches to uncovering the complex biases inherent in news production and coverage processes. News bias, a multifaceted reflection …
Crystal structure and phase transformations in 1D nanostructures
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 …
Demand forecasting with machine learning methods
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) …
Use of information and communication technologies, data and knowledge to increase the impact of digital environments on food choice
Food and eating environments play a crucial role in shaping consumers' food choices. As food decision-making shifts more into the digital environment, it is essential to understand the impact of this setting on consumer's dietary behaviours. Online platforms and mobile apps provide great opportunities for the promotion of healthier food …
Exploiting domain knowledge in predictive learning from food and nutrition data
Human knowledge about food and nutrition has evolved drastically with time. With food and nutrition-related data being mass produced and easily accessible, the next step is to use Artificial Intelligence (AI) to translate data into knowledge. The majority of AI research is model-driven, and classical Machine Learning (ML) pipelines concentrate …
Synthesis and properties of anodically oxidised films on metal titanium substrate for photocatalytic applications
The link between TiO2 and photocatalysis was recognized a long time ago. However, there was originally no scientific knowledge relating to the process of photocatalysis. Given this, it is impressive that the most significant advances in the properties of TiO2 in photocatalytic processes have been made since the first reports …
Unravelling the molecular mechanisms of plant-pathogen interactions in grapevine and potato through functional analysis
Plants are constantly exposed to various environmental stressors. Pathogen infections causing disease can affect economically important crops and impact global food production. To counter disease development and spread, it is imperative that we acquire a thorough knowledge of its pathogenesis, as well as of the mechanisms underlying plant immune response. …
Characterization of plant viromes using different viral nucleic acids enrichment strategies and high-throughput sequencing platforms
Plant viruses are very important plant pathogens, causing economic losses by infecting cultivated plants, causing diseases, and consequently reducing crop quality and quantity. In recent years, the development of high throughput sequencing (HTS) technologies has dramatically broadened the possibilities for plant virus research and diagnostics, enabling the discovery of new …
Diversity, ecology and sensing of the toxic diatom Pseudo-Nitzschia in the Gulf of Trieste: doctoral disertation
This work focuses on a group of diatoms, belonging to the genus Pseudo-nitzschia, which is a globally important phytoplankton genus. Some species of the genus produce the toxin domoic acid, which is responsible for shellfish intoxication known as the amnesic shellfish poisoning (ASP). These diatoms have few morphological features that …