Integrating R in a distributed scientific workflow via a Jupyter-based Environment

The Research Infrastructure Lifewatch Italy has developed a Virtual Research Environment for studies on phytoplankton ecology that includes computational services based on R, a programming language widely used for data science and ecology. Here we have verified the feasibility of a Jupyter-based research environment, the NaaVRE, which has so far been tested only with Python, for running R code in a workflow on the Cloud. The successful execution demonstrated the potentialities of R in Cloud-based research environments. However, further investigation is needed, in particular, to overcome the issue of the lack of dependencies declaration in R. The possibility of performing analyses in a workflow, combined with the computational resources of remote infrastructures, will support scientists in carrying out FAIR and innovative research in a more efficient, integrated and collaborative way.</p

Patient and public involvement in health literacy interventions: a mapping review

Background: Health literacy is a critical mediating factor that impacts on the health of older adults. Patient and public involvement in health and social care research, policy and design of care delivery is one mechanism that can promote production of better health literacy. This mapping review looks for and describes practices, concepts and methods that have been reported involving patients, public and (non-researcher) professionals in the development and design of health literacy interventions for older people. Methods: Studies that aimed to improve health literacy were identified within a previously created compatible inventory of health behaviour studies for older people. Articles were screened for whether they addressed health literacy and featured involvement of stakeholders other than investigators and patients. Two reviewers independently read each study to identify any patient, public and professional involvement in the research process. We also noted some aspects of outcomes. Results: Twenty-two studies included patient, public and/or professional involvement in at least one research domain: design, management or evaluation. Involvement included volunteers, older people, professionals, patients, and community representatives. All studies were driven by an organisational or biomedical agenda. Conclusions: Patient, public and professional involvement wasrarely reported in studies on health literacy interventions for older people. This could help explain why some interventions fail to improve health literacy in older people. Key words – health literacy intervention research, older people, patient and public involvement, mapping revie

Robot education peers in a situated primary school study: personalisation promotes child learning

The benefit of social robots to support child learning in an educational context over an extended period of time is evaluated. Specifically, the effect of personalisation and adaptation of robot social behaviour is assessed. Two autonomous robots were embedded within two matched classrooms of a primary school for a continuous two week period without experimenter supervision to act as learning companions for the children for familiar and novel subjects. Results suggest that while children in both personalised and non-personalised conditions learned, there was increased child learning of a novel subject exhibited when interacting with a robot that personalised its behaviours, with indications that this benefit extended to other class-based performance. Additional evidence was obtained suggesting that there is increased acceptance of the personalised robot peer over a non-personalised version. These results provide the first evidence in support of peer-robot behavioural personalisation having a positive influence on learning when embedded in a learning environment for an extended period of time

Design and evaluation of a personal robot playing a self-management education game with children with diabetes type 1

Objective To assess the effects of a personal robot, providing diabetes self-management education in a clinical setting on the pleasure, engagement and motivation to play a diabetes quiz of children (7–12) with type 1 diabetes mellitus (T1DM), and on their acquisition of knowledge about their illness. Methods Children with T1DM (N = 27) participated in a randomized controlled trial (RCT) in which they played a diabetes mellitus self-management education (DMSE) game, namely a diabetes quiz, with a personal or neutral robot on three occasions at the clinic, or were allocated to a control group (care as usual). Personalised robot behaviour was based on the self-determination theory (SDT), focusing on the children's needs for competence, relatedness and autonomy. The SDT determinants pleasure, motivation and diabetes knowledge were measured. Child-robot interaction was observed, including level of engagement. Results Results showed an increase in diabetes knowledge in children allocated to the robot groups and not in those allocated to the control group (P =.001). After three sessions, children working with the personal robot scored higher for determinants of SDT than children with the neutral robot (P = .02). They also found the robot to be more pleasurable (P =.04), they answered more quiz questions correctly (P =.02), and were more motivated to play a fourth time (P = .03). The analysis of audio/video recordings showed that in regard to engagement, children with the personal robot were more attentive to the robot, more social, and more positive (P &lt; .05). Conclusion The study showed how a personal robot that plays DMSE games and applies STD based strategies (i.e., provides constructive feedback, acknowledges feelings and moods, encourages competition and builds a rapport) can help to improve health literacy in children in an pleasurable, engaging and motivating way. Using a robot in health care could contribute to self-management in children with a chronic disease and help them to cope with their illness.Design Aesthetic