Opin vísindi
Opin vísindi er varðveislusafn vísindaefnis og doktorsritgerða í opnum aðgangi á vegum íslenskra háskóla og Landsbókasafns Íslands - Háskólabókasafns.
Opinn aðgangur að rannsóknaniðurstöðum er í samræmi við 10. gr. laga nr. 3/2003 um opinberan stuðning við vísindarannsóknir sem og kröfur innlendra og erlendra rannsóknasjóða. Markmiðið með opnum aðgangi er að niðurstöður rannsókna séu aðgengilegar sem flestum óhindrað og án endurgjalds á rafrænu formi. Vistun í varðveislusafninu er varanleg og ætlað að tryggja aðgang að vísindaefni íslenskra háskóla í opnum aðgangi um ókomna tíð. Varðveislusafnið Opin vísindi er tengt við rannsóknagáttina IRIS og rannsóknaniðurstöður í opnum aðgangi sem eru skráðar í IRIS eru um leið vistaðar og gerðar aðgengilegar til framtíðar í varðveislusafninu. Með því að safna þessu efni saman í eitt safn verður aðgangur að því einfaldur og þægilegur fyrir alla sem vilja kynna sér það og geta þannig notið þess öfluga vísindastarfs sem fram fer í háskólum landsins.
Varðveislusafnið er OpenAIRE / OpenAIREplus samhæft og samrýmist kröfum sem gerðar eru um birtingu rannsóknaniðurstaðna úr verkefnum sem styrkt eru úr evrópsku rannsóknaáætlununum FP7 og H2020.
Varðveislusafnið notar opna hugbúnaðinn DSpace.
Opinn aðgangur að rannsóknaniðurstöðum er í samræmi við 10. gr. laga nr. 3/2003 um opinberan stuðning við vísindarannsóknir sem og kröfur innlendra og erlendra rannsóknasjóða. Markmiðið með opnum aðgangi er að niðurstöður rannsókna séu aðgengilegar sem flestum óhindrað og án endurgjalds á rafrænu formi. Vistun í varðveislusafninu er varanleg og ætlað að tryggja aðgang að vísindaefni íslenskra háskóla í opnum aðgangi um ókomna tíð. Varðveislusafnið Opin vísindi er tengt við rannsóknagáttina IRIS og rannsóknaniðurstöður í opnum aðgangi sem eru skráðar í IRIS eru um leið vistaðar og gerðar aðgengilegar til framtíðar í varðveislusafninu. Með því að safna þessu efni saman í eitt safn verður aðgangur að því einfaldur og þægilegur fyrir alla sem vilja kynna sér það og geta þannig notið þess öfluga vísindastarfs sem fram fer í háskólum landsins.
Varðveislusafnið er OpenAIRE / OpenAIREplus samhæft og samrýmist kröfum sem gerðar eru um birtingu rannsóknaniðurstaðna úr verkefnum sem styrkt eru úr evrópsku rannsóknaáætlununum FP7 og H2020.
Varðveislusafnið notar opna hugbúnaðinn DSpace.
Nýlega bætt við
A Conceptual Model For Web Accessibility Requirements In Agile Development
(Association for Computing Machinery, Inc, 2024-08-07) Miranda, Darliane; Araújo, João; Liebel, Grischa; Department of Computer Science
Accessibility is the practice of making content and functionality accessible to all users, regardless of their abilities. Although accessibility is a highly relevant quality attribute, it is often treated as an afterthought in software development, unfortunately excluding people with disabilities from using many web-based systems. Specifically in agile development, sprints focus on new features and quality attributes, such as accessibility, are often not considered sufficiently. In these cases, using conceptual models to understand and analyze requirements that developers have formulated as a set of related user stories is a research opportunity. To increase agile professionals' focus on accessibility, we built a conceptual model for web accessibility, identifying artifacts and concepts used in agile development to specify accessibility. We discuss how this model can be used as a guide to better integrate accessibility considerations into agile software development. Researchers can use the result to define resources that are not currently covered or improve underutilized practices. We plan to use the conceptual model in the next steps to adapt existing agile artifacts and create support tools for web accessibility in agile development.
Economical Accommodations for Neurodivergent Students in Software Engineering Education : Experiences from an Intervention in Four Undergraduate Courses
(Apress Media LLC, 2024-01-01) Liebel, Grischa; Sigurðardóttir, Steinunn Gróa; Department of Computer Science
Implementation of a whole blood programme within a blood service : Practical guidance for blood providers
(2026-03) European Blood Alliance Working Group on Innovations and New Products; Department of Engineering
Background and Objectives: Early balanced transfusion is recommended for resuscitation of patients with severe bleeding. Whole blood (WB) is reintroduced as a feasible alternative to blood components, as it includes red blood cells, plasma and platelets in a physiological ratio. Materials and Methods: In this review, we aim to provide practical guidance and a framework for blood providers aiming to implement a WB programme. The review summarizes recommendations and practical implications identified from published literature, regulatory requirements and current programmes. Results: WB donors are selected based on national donor selection criteria. When the patients' ABO-type is unknown, low titre anti-A and anti-B group-O WB (LTOWB) are recommended. ABO-group type-specific blood can be used in patients with known ABO type. Anticoagulants include CPD and CPDA-1. Leukoreduction can be performed with a platelet-sparing filter. WB is stored at +2 to –6°C for up to 35 days. Rotation of the stock and re-manufacturing to red cell concentrates minimizes outdating. The EDQM Guide to the preparation, use and quality assurance of blood components provides the minimum requirements. Post-implementation follow-up includes haemovigilance and quality surveillance. End users should be involved in the development of the programme and training of personnel. Emergency collection of WB can enable transfusion to patients in remote areas, during disasters and during war. Conclusion: We conclude that implementation of a WB programme for routine and emergency management of patients with severe bleeding can be performed in a structured, safe and sustainable way.
Unsupervised machine learning in sleep research : a scoping review
(2025-11-01) Biedebach, Luka; Ferreira-Santos, Daniela; Stefanos, Marie Ange; Lindhagen, Alva; Pires, Gabriel Natan; Arnardóttir, Erna Sif; Islind, Anna Sigridur; Department of Engineering; Department of Computer Science
Study Objectives Unsupervised machine learning—an approach that identifies patterns and structures within data without relying on labels—has demonstrated remarkable success in various domains of sleep research. This underscores the broader utility of machine learning, suggesting that its capabilities extend beyond current applications and warrant further exploration for novel insights in sleep studies, focusing specifically on unsupervised machine learning. Methods This paper outlines a scoping review conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines for scoping reviews. A comprehensive search covering various search terms focusing on the intersection between unsupervised machine learning and sleep led to 3960 publications. After screening all titles and abstracts with two independent reviewers, ultimately, 356 publications were included in the full-text review. The data extracted from the full texts included information about the machine learning methods and types of sleep data, as well as the study population. Results There has been a steep increase in the number of publications in this research area in the past 10 years. Clustering is the most commonly used method, but other methods are gaining popularity. Apart from classical polysomnography, data from wearable devices, nearables, video, audio, and medical imaging techniques have been used as input to unsupervised machine learning. The broad search allowed us to explore various applications within sleep research, ranging from the general population to populations with various sleep disorders. Conclusion The review mapped existing research on unsupervised learning in sleep research, identified gaps in the literature, and derived directions for future research.
Correlates of sedentary behaviour in adults with intellectual disabilities—A systematic review
(2018-10-17) Oppewal, Alyt; Hilgenkamp, Thessa I.M.; Elinder, Liselotte Schäfer; Freiberger, Ellen; Rintala, Pauli; Guerra-Balic, Myriam; Giné-Garriga, Maria; Cuesta-Vargas, Antonio; Oviedo, Guillermo R.; Sansano-Nadal, Oriol; Izquierdo-Gómez, Rocio; Einarsson, Ingi; Teittinen, Antti; Melville, Craig A.; Department of Sport Science
Individuals with intellectual disabilities (ID) are at high risk for high levels of sedentary behaviour. To inform the development of programmes to reduce sedentary behaviour, insight into the correlates is needed. Therefore, the aim of this study is to review the evidence on correlates of sedentary behaviour in adults with ID. We performed a systematic literature search in Ovid Medline, Ovid Embase, Web of Science and Google Scholar up to 19 January 2018, resulting in nine included studies that were published from 2011 to 2018. Correlates were categorized according to the ecological model. Studies predominantly focused on individual level correlates. Of those correlates studied in more than one study, having epilepsy was associated with less sedentary behaviour and inconsistent results were found for sex, genetic syndromes, weight status, physical health, mobility, level of ID, and mental health. Of the few interpersonal and environmental factors studied, only living arrangements were studied in more than one study, with inconsistent results. To date, we.
Flokkar í Opnum vísindum
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- University of Iceland
- University of Akureyri
- Bifröst University
- Hólar University College
- IRIS
- Agricultural University of Iceland
- National and University Library of Iceland
- Iceland University of the Arts