4 research outputs found
Multi-Sectoral Participatory Design of a BabyWASH Playspace for Rural Ethiopian Households.
Growing evidence suggests current water, sanitation, and hygiene interventions do not improve domestic hygiene sufficiently to improve infant health, nor consider the age-specific behaviors which increase infection risk. A household playspace (HPS) is described as one critical intervention to reduce direct fecal-oral transmission within formative growth periods. This article details both the design and development (materials and methods), and testing (results) of a HPS for rural Ethiopian households. Design and testing followed a multi-sectoral, multistep participatory process. This included a focus group discussion (FGD), two user-centered and participatory design workshops in the United Kingdom and Ethiopia, discussions with local manufacturers, and a Trials by Improved Practices (TIPs) leading to a final prototype design. Testing included the FGD and TIPs study and a subsequent randomized controlled feasibility trial in Ethiopian households. This multi-sectoral, multistage development process demonstrated a HPS is an acceptable and feasible intervention in these low-income, rural subsistence Ethiopian households. A HPS may help reduce fecal-oral transmission and infection-particularly in settings where free-range domestic livestock present an increased risk. With the need to better tailor interventions to improve infant health, this article also provides a framework for future groups developing similar material inputs and highlights the value of participatory design in this field
FAIR National Roadshow - Slovenia: IDs, Metadata, Interoperability: Open Science and Research Data Management Policies in Slovenia
These slides were presented during the FAIR National Roadshow Slovenia, on 28th September 2023, to showcase existing recommendations, good practices, and assessment tools that can help the Research community members start (or continue) their journey to becoming more FAIR-enabling and actively contribute to the European Open Science Cloud. Registration for this webinar was free and open to all.
The event page is available at https://fair-impact.eu/events/national-roadshows/pids-metadata-interoperability-open-science-and-research-data-managemen
Semi-device independent nonlocality certification for near-term quantum networks
Verifying entanglement between parties is essential for creating a secure quantum network, and Bell tests are the most rigorous method for doing so. However, if there is any signaling between the parties, then the violation of these inequalities can no longer be used to draw conclusions about the presence of entanglement. This is because signaling between the parties allows them to coordinate their measurement settings and outcomes, which can give rise to a violation of Bell inequalities even if the parties are not genuinely entangled. There is a pressing need to examine the role of signaling in quantum communication protocols from multiple perspectives, including communication security, physics foundations, and resource utilization while also promoting innovative technological applications. Here, we propose a semi-device independent protocol that allows us to numerically correct for effects of correlations in experimental probability distributions, caused by statistical fluctuations and experimental imperfections. Our noise robust protocol presents a relaxation of a tomography-based optimisation method called the steering robustness, that uses semidefinite programming to numerically identify the optimal quantum steering inequality without the need for resource-intensive tomography. The proposed protocol is numerically and experimentally analyzed in the context of random, misaligned measurements, correcting for signalling where necessary, resulting in a higher probability of violation compared to existing state-of-the-art inequalities. Our work demonstrates the power of semidefinite programming for entanglement verification and brings quantum networks closer to practical applications