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Rising demands for food, instigated by population growth and urbanization, are calling for advanced agricultural approaches to increase crop yields. However, the expansion of food production should not come with an unmanageable environmental cost. Plant science is therefore challenged to provide sustainable innovations for combating the detrimental effects of unfavourable …

A paradigm shift is occurring in the assessment of exposure to urban environmental stressors. Improved accuracy of personal monitors has enabled researchers to study exposure at the individual level. Monitoring stations are the primary reference point for air quality in urban environments, although there is a need to assess exposure …

The analysis of drug residues in waste and environmental waters offers valuable insights into the epidemiological and environmental implications of drug use. This study employs a wastewater-based epidemiology (WBE) approach to estimate the use of licit and illicit drugs and new psychoactive substances (NPS) among both general and specific populations. …

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) …

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 …

Glioblastoma (GB) is the most common and aggressive primary tumour of the central nervous system. Despite maximal possible surgical resection of the tumours and aggressive treatment regimens with radiotherapy and chemotherapy, patient overall survival is less than 2 years, as patients eventually develop resistance to therapy, resulting in recurrent tumours. …

Research and development of exoskeletons for injury prevention and assistance with everyday living has steadily increased in the last decade. With some products already available on the market, a widespread adoption of exoskeletons appears to be within close reach. However, many challenges still remain to be overcome, one of which …

Time-of-flight secondary ion mass spectrometry using MeV ions (MeV ToF SIMS) has been around for a few decades as a reliable, surface-sensitive method for the detection of molecular ions having masses up to 1000 Da. It provides excellent lateral resolution of a few μm for imaging of organic samples, making …

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 …

The area of risk assessment continues to be challenged by foundational issues that limit its potential to inform public health decisions. This doctoral work improves our understanding of the interaction between science and public and environmental health policy by addressing specific challenges in risk assessment within and for decision-making. The …