68 research outputs found
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
Взаимосвязь ожирения и нарушений углеводного обмена с синдромом обструктивного апноэ во сне
Представлены литературные данные клинических исследований, в которых синдром обструктивного апноэ во сне (СОАС) рассматривается как фактор риска развития нарушений углеводного обмена, в том числе сахарного диабета 2−го типа. Анализируется взаимосвязь наиболее значимых факторов, влияющих на прогрессирование нарушений углеводного обмена у пациентов с СОАС. Приведен анализ данных о связи СОАС с диабетической автономной нейропатией и инсулинорезистентностью. Рассматривается возможность применения СРАР−терапии для коррекции метаболических нарушений у пациентов с сахарным диабетом.Представлено літературні дані клінічних досліджень, у яких синдром обструктивного апное під час сну (СОАС) розглянуто як фактор ризику розвитку порушень вуглеводного обміну, у тому числі цукрового діабету 2−го типу. Аналізується взаємозв'язок найбільш значущих факторів, що впливають на прогресування порушень вуглеводного обміну у пацієнтів із СОАС. Наведено аналіз даних про зв'язок СОАС із діабетичною автономною нейропатією та інсулінорезистентністю. Розглянуто можливість використання СРАР−терапії для корекції метаболічних порушень у пацієнтів із цукровим діабетом.Literature data about clinical trials, in which sleep apnea syndrome (SAS) is featured as a risk factor of carbohydrate metabolism disorders, including type 2 diabetes mellitus, are presented. Association of the most significant factors influencing the progress carbohydrate metabolism disorders in patients with SAS is analyzed. The data about the association of SAS and diabetic autonomous neuropathy and insulin resistance are featured. Possibility to use CPAP therapy for correction of metabolic disorders in patients with diabetes mellitus is discussed
Towards long-term social child-robot interaction: using multi-activity switching to engage young users
Social robots have the potential to provide support in a number of practical domains, such as learning and behaviour change. This potential is particularly relevant for children, who have proven receptive to interactions with social robots. To reach learning and therapeutic goals, a number of issues need to be investigated, notably the design of an effective child-robot interaction (cHRI) to ensure the child remains engaged in the relationship and that educational goals are met. Typically, current cHRI research experiments focus on a single type of interaction activity (e.g. a game). However, these can suffer from a lack of adaptation to the child, or from an increasingly repetitive nature of the activity and interaction. In this paper, we motivate and propose a practicable solution to this issue: an adaptive robot able to switch between multiple activities within single interactions. We describe a system that embodies this idea, and present a case study in which diabetic children collaboratively learn with the robot about various aspects of managing their condition. We demonstrate the ability of our system to induce a varied interaction and show the potential of this approach both as an educational tool and as a research method for long-term cHRI
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
Estudio de la influencia de la automatización en el proyecto arquitectónico
Estudio de la influencia de la automatización en el proyecto arquitectónic
Are future psychologists willing to accept and use a humanoid robot in their practice? Italian and English students' perspective.
Despite general scepticism from care professionals, social robotics research is providing evidence of successful application in education and rehabilitation in clinical psychology practice.
In this article, we investigate the cultural influences of English and Italian psychology students in the perception of usefulness and intention to use a robot as an instrument for future clinical practice and, secondly, the modality of presentation of the robot by comparing oral versus video presentation. To this end, we surveyed 158 Italian and British-English psychology students after an interactive demonstration using a humanoid robot to evaluate the social robot’s acceptance and use. The Italians were positive, while the English were negative towards the perceived usefulness and intention to use the robot in psychological practice in the near future. However, most English and Italian respondents felt they did not have the necessary abilities to make good use of the robot. We concluded that it is necessary to provide psychology students with further knowledge and practical skills regarding social robotics, which could facilitate the adoption and use of this technology in clinical settings
Making New "New AI" Friends : Designing a Social Robot for Diabetic Children from an Embodied AI Perspective
Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.Robin is a cognitively and motivationally autonomous affective robot toddler with "robot diabetes" that we have developed to support perceived self-efficacy and emotional wellbeing in children with diabetes by providing them with positive mastery experiences of diabetes management in a playful but realistic and natural interaction context. Underlying the design of Robin is an "Embodied" (formerly also known as "New") Artificial Intelligence approach to robotics. In this paper we discuss the rationale behind the design of Robin to meet the needs of our intended end users (both children and medical staff), and how "New AI" provides a suitable approach to developing a friendly companion that fulfills the therapeutic and affective requirements of our end users beyond other approaches commonly used in assistive robotics and child-robot interaction. Finally, we discuss how our approach permitted our robot to interact with and provide suitable experiences of diabetes management to children with very different social interaction styles.Peer reviewedFinal Published versio
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