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Implementing disaster risk reduction (DRR), climate change adaptation and mitigation (CCA/M), and sustainable development are key to increasing community resilience to pressing climate change risks. Barriers to grassroots implementation of national and int ...
Automated, ship-board flow cytometers provide high-resolution maps of phytoplankton composition over large swaths of the world's oceans. They therefore pave the way for understanding how environmental conditions shape community structure. Identification o ...
Metabolism is the process by which cells and organisms obtain nutrients and energy to perform their functions. In the last years, many human diseases, including cancer, diabetes, and cardiac diseases, have been associated with altered metabolism. Understan ...
Today we live in a digital society that requires the acquisition of new skills related to computer science, such as computational thinking or coding skills, as well as cross-curricular skills, such as communication, collaboration and creativity. A possible ...
In this paper, we propose algorithms that leverage a known community structure to make group testing more efficient. We consider a population organized in disjoint communities: each individual participates in a community, and its infection probability depe ...
Classification methods from machine learning are receiving a lot of attention in the transportation modelling community. This is motivated by the access to large databases, and to various success stories reported in this research community. Discrete choice ...
This chapter describes an evolution of practices in community and business assurance from protective programs based upon risk management to the emerging strategy of resilience. The chapter compares and contrasts these two basic approaches, identifying nota ...
This innovative project addresses the issue of users’ participation towards urban development and policies. It is through a transdisciplinary action research that we plan to investigate this issue. Our intention is to develop a community-based methodology ...
Microbial communities are often highly diverse in their composition, both at a coarse-grained taxonomic level, such as genus, and at a highly resolved level, such as strains, within species. This variability can be driven by either extrinsic factors such a ...
In this paper, we propose a novel methodology and design to contribute towards the achievement of the 17 Sustainable Development Goals (SDGs) adopted by member states of the United Nations for a better and more sustainable future for all. We particularly f ...