While the right to adequate food is often discussed in the context of developing countries, especially in situations where access to adequate food is a problem on a larger scale, this book focusses on the right to food in two Western countries in which theoretically the circumstances allow this right to be enjoyed by each individual. Through a legal comparative study, the enforceability of the right to food is compared between the Netherlands and Belgium in light of the current UN Human Rights system. There seems to be a difference between what the countries do, what they say they do, and what they should do on the matter. As it appears, the coincidental constitutional circumstances mainly determine the enforceability of the right to food, rather than the content of the human right in itself. This book includes a thorough analysis of suitable comparative legal methodology and the embedment of the right to food in the UN human right system. Furthermore, for both countries, an in-depth analysis of the case law on the right to food (mostly concerning the status of foreigners), the constitutional context in which the Judiciary operates, and the relevant UN reports and subsequent procedures are outlined. Finally, recommendations are made to both countries and the relevant UN Committees.
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Five methods were compared to determine the best technique for accurate identification of coagulase-negative staphylococci (CoNS) (n=142 strains). MALDI-TOF MS showed the best results for rapid and accurate CoNS differentiation (correct identity in 99.3%). An alternative to this approach could be Vitek2 combined with partial tuf gene sequencing.
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This article reports on the application of a visual method in a small-scale comparative study. Practitioners in five European countries participated and took photographs of the places and spaces where offender supervision occurs. Source: Queen's University Belfast Research Portal.
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Human kind has a major impact on the state of life on Earth, mainly caused by habitat destruction, fragmentation and pollution related to agricultural land use and industrialization. Biodiversity is dominated by insects (~50%). Insects are vital for ecosystems through ecosystem engineering and controlling properties, such as soil formation and nutrient cycling, pollination, and in food webs as prey or controlling predator or parasite. Reducing insect diversity reduces resilience of ecosystems and increases risks of non-performance in soil fertility, pollination and pest suppression. Insects are under threat. Worldwide 41 % of insect species are in decline, 33% species threatened with extinction, and a co-occurring insect biomass loss of 2.5% per year. In Germany, insect biomass in natural areas surrounded by agriculture was reduced by 76% in 27 years. Nature inclusive agriculture and agri-environmental schemes aim to mitigate these kinds of effects. Protection measures need success indicators. Insects are excellent for biodiversity assessments, even with small landscape adaptations. Measuring insect biodiversity however is not easy. We aim to use new automated recognition techniques by machine learning with neural networks, to produce algorithms for fast and insightful insect diversity indexes. Biodiversity can be measured by indicative species (groups). We use three groups: 1) Carabid beetles (are top predators); 2) Moths (relation with host plants); 3) Flying insects (multiple functions in ecosystems, e.g. parasitism). The project wants to design user-friendly farmer/citizen science biodiversity measurements with machine learning, and use these in comparative research in 3 real life cases as proof of concept: 1) effects of agriculture on insects in hedgerows, 2) effects of different commercial crop production systems on insects, 3) effects of flower richness in crops and grassland on insects, all measured with natural reference situations
The ongoing environmental changes in the Arctic call for a deeper understanding of how local communities experience and adapt to these transformations. This PhD examines sense of place and how this shapes future climate imaginaries within riverine communities, focusing on the Altaelva community in northern Norway. In northern Peru, the community has long experienced alternating environmental changes due to the El Niño Southern Oscillation, nowadays intensified by climate change. By examining how these communities adapt to cyclical environmental shifts, this case study provides comparative insights relevant to the Arctic, where climate change presents a more linear, continuous impact.Utilizing qualitative methods, I explore how individuals and groups form emotional and cognitive attachments to the environment while living in a changing climate. This PhD investigates locally rooted visions of climate futures that are informed by the community's sense of place, so-called “emplaced climate imaginaries”. By focusing on how the community’s attachment to the river influences their perceptions of future climate scenarios, I aim to identify the ways in which these imaginaries contribute to sustainable adaptation strategies.The study’s focus on the intersection of emotional bonds to place and anticipatory climate futures offers insights into how communities cope with and adapt to environmental change. These findings will contribute to broader discussions on climate resilience, emphasizing the importance of integrating local narratives and experiences into climate adaptation policies. The research not only provides a lens into Arctic futures but also underscores the role of local, place-based attachments in shaping responses to climate change.
Higher education offers great flexibility as students are largely free to decide where, when, and how to study. Being successful in such an environment requires well-developed self-regulated learning skills. However, every teacher in higher education knows that students experience ample difficulty to self-regulate their learning. They struggle to set and plan learning goals, and to gain sufficient depth in learning when preparing for exams. These struggles can negatively impact their learning, well-being, academic achievement, and professional life. On top of the existing flexibility in higher education, a need for more flexibility in what students learn is becoming evident. That is, students have room for flexible learningapproaches (i.e., deciding what learning goals or materials to study and how) and/or flexible learning trajectories (i.e.,choosing what combination of courses to take). This places an additional burden on students’ self-regulated learning skills. We posit that for students to thrive in flexible higher education, practice-oriented research on supporting students’self-regulated learning skills is required. Our collaborative consortium will i) unravel how students can be optimally scaffolded within flexible learning approaches and flexible learning trajectories, ii) examine how to optimize teacher and technological support, and iii) study how student autonomy and motivation can be guarded. We will set up a practice-oriented research program with both qualitative and quantitative methods, including design-based research, action research, pre-post comparative intervention studies, and large-scale correlational research. The findings will impact higher education through (technological) design guidelines and intervention programs for educational professionals, andsupport-modules for students.
