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One-step synthesis of graphene containing topological defects
No full textRaw data repository containing X-ray photoelectron spectroscopy (XPS), X-ray standing waves (XSW), non-contact atomic force microscopy (nc-AFM), scanning tunnelling microscopy (STM), near-edge X-ray absorption fine structure (NEXAFS) spectroscopy, Raman spectroscopy, tunnelling electron microscopy (TEM) and density functional theory (DFT) data for the work "One-step synthesis of graphene containing topological defects" published in Chemical Scienc
The future of factory cleaning: responsible cleaning data collection and use framework
Get PDFThis report introduces the future technologies that are expected to fundamentally reshape the work of cleaning food and drink factories, focusing on the possibilities for data collection and use that these technologies enable. Data serves as the core commodity that will help deliver the changes across the industry, allowing for greater fidelity and traceability across the supply chain. However, data, especially of a commercially sensitive or even personal nature, must be handled responsibly to avoid misuse or misinterpretation, which would undermine any of the benefits gleaned from enhancing data collection in the first place
Fungal biofilm formation on potential anti-attachment materials
No full text(Meth)acrylate polymers showing the lowest fungal attachment (from a preceding microarray-spot screen) were assayed by scale-up to coat the 6.4-mm diameter wells of 96-well plates. Polymers showing surface cracking were excluded from the analysis. Related to Vallieres et al (2020) Science Advances, Fig 2A,B
Validating a predictive structure–property relationship by discovery of novel polymers which reduce bacterial biofilm formation
No full textDataset contains raw and processed data used for the creation of figures in publication entitled 'Validating a Predictive Structure – Property Relationship by Discovery of Novel Polymers which Reduce Bacterial Biofilm Formation
Achieving microparticles with cell-instructive surface chemistry by using tunable co-polymer surfactants
No full textDataset contains raw and processed data used for the creation of figures in publication entitled 'Achieving Microparticles with Cell-Instructive Surface Chemistry by Using Tunable Co-Polymer Surfactants
Fasted state gastric antral motility MRI and manometry AUC anonimyzed data sets
No full textThe Excel sheet deposited contains the anonymized individual data (n=421) and the time course data for the fasted state gastric antral motility study, comparing directly concomitant MRI and manometry techniques in healthy human subjects
Understanding influence and action in Learning and Action Alliances: experience from the Newcastle Blue-Green Vision
No full textThe Learning and Action Alliance (LAA) framework is increasingly valued as an approach to facilitate social learning and action by enabling collaboration within and between organisations, breaking down barriers to information sharing and facilitating co-development of innovative visions to address key environmental and societal challenges. While the social learning potential of LAA has been documented in detail, the role of ‘action’ is relatively unexplored and there is little research into how LAAs might evolve over time to ensure longevity. Here, we explore the key achievements and limitations of the Newcastle LAA (established in 2014) through interviews with 15 LAA members. We find that interpretations of the concept of ‘action’ influences perceptions of success of the LAA. We update the structural framework of the LAA and expand the implementation phase to better reflect the agents of change that impact the LAAs’ ability to apply their vision to demonstration projects. Finally, we explore the longevity of the Newcastle LAA and conclude that after running for seven years, there may be a shelf-life to whole-group visioning and a move towards greater intraorganisational learning. This demonstrates a shift in the primary role of the LAA over time, from learning towards greater influence and action
Inter-ALTCAI: Interactive Agents with Literacy, Trust, and Comprehension-aware Artificial Intelligence
No full textSPSS file containing the participants' responses to the questionnaires used during the project.
During Inter-ALTCAI we designed an Embodied Conversation Agent (ECA) to provide informal health and well-being advice to pregnant and nursing women in Nigeria.
Sessions using the ECA were run with participants from the UK and Nigeria to try to understand if the use of an ECA affected the engagement of participants. Data included in this item are:
- Responses to questionnaire with demographics and data related to prior device use experience.
- Responses to Negative Attitudes Towards Robots Scale (NARS) questionnaire.
- Results of REALM health literacy reading tasks.
- Responses to User Engagement Scale - Short Form questionnaire after each participant used the ECA for three different conditions:
* Linear ECA.
* Adaptive ECA.
* Text-and-speech interface
