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
Highly Compact Dual-Band Four-Port Integrated Lens MIMO Antenna for 5G New Radio IoT Devices
(2026-01-01) Malik, Bilal Tariq; Khan, Shahid; Nasir, Jamal; Koziel, Slawomir; Department of Engineering
This article introduces a highly compact, dual-wideband four-port MIMO antenna with an integrated 3D-printed dielectric lens, tailored for 5G millimeter-wave (mmWave) new radio (NR) IoT applications. The antenna's gain and port isolation are significantly enhanced by placing a hemispherical dielectric lens atop the MIMO structure. The complete integrated lens MIMO antenna (ILMA) measures just 22× 22× 20 mm3. Without the lens, the peak gain is limited to 6 dBi and 4.2 dBi at 28 GHz and 38 GHz, respectively. With the lens, gain improves to 10.5 dBi at 28 GHz and 9 dBi at 38 GHz. The antenna also achieves outstanding isolation, over 25 dB at 28 GHz and 30 dB at 38 GHz, with an envelope correlation coefficient (ECC) below 0.02 and diversity gain (DG) exceeding 9.9 dB across both bands. Link budget analysis confirms reliable communication up to 220 m at 28 GHz and 112 m at 38 GHz with 30 dBm transmit power. A fabricated prototype validates simulation results, showing strong agreement in S-parameters, isolation, gain, and radiation patterns. Compared to state-of-the-art designs, the proposed antenna offers superior gain, enhanced isolation, compact size, and cost-effective fabrication, making it well-suited for mmWave 5G NR bands such as n257, n260, and n261.
Háorku brjóst- og lendhryggbrot á Landspítala 2003-2022
(2026) Sigurdarson, Hjortur Vidar; Hardarson, Hlynur Breki; Jonsson, Halldor; Tsirilaki, Mariella; Ingvarsson, Thorvaldur; Snaebjornsson, Thorkell; Verkfræðideild
Introduction: To investigate the epidemiology of high-energy thoracic and lumbar spine fractures at Landspítali and evaluate their treatment and associated injuries using international injury classification systems. Materials and Methods: Medical records were reviewed with regard to age, sex, nationality, length of hospital stay, mechanism of injury, associated injuries, treatment, neurological injury, seasonality, and injury location. Imaging studies were used for diagnosis and for classification of fractures according to the AO injury classification system. Results: A total of 424 individuals were diagnosed with 596 fractures during the study period. On average, there were 21.2 injuries per year; the mean age was 40.3 years, and men accounted for just over 62% of cases. Motor vehicle collisions were the cause in approximately 21% of cases, rollovers in about 20%, and among rollover accidents, just over 31% involved foreign individuals. The most common fracture levels were L1 (approximately 19% of all fractures) and Th12 (just over 11%). Neurological injury was present in just over 20% of cases involving fractures at Th12, L1, and Th7. Overall, 36% of patients underwent surgical treatment, and an additional 17% received external support. Associated injuries to other parts of the body were present in just over 63% of cases. Conclusion: On average, approximately two thoracic and lumbar spine fractures caused by high-energy trauma were treated per month at Landspítali during the period 2003–2022. A typical case was a fracture at Th12 or L1 in a 40-year-old man. Patients without neurological deficits had a significantly shorter length of hospital stay. The number of injuries decreased over time, although not statistically significantly; this trend could, for example, be explained by improved vehicle safety equipment.
Using a Stack to Find an AI Needle : Topic Modeling for Cyber Threat Intelligence
(2025-12-15) Schröer, Saskia Laura; Seideman, Jeremy D.; Luo, Shoufu; Apruzzese, Giovanni; Dietrich, Sven; Laskov, Pavel; Department of Computer Science
Cyber Threat Intelligence (CTI) is a fundamental activity to ensure the protection of modern organizations against sophisticated cyberattackers. A large body of literature has addressed problems related to CTI. Despite the scientific validity of such results, the reality is that CTI practitioners rarely deploy advanced CTI methods proposed by the research community and mostly rely on manual processes. We seek to facilitate the manual analyses typical for CTI practice by proposing a novel topic modeling technique that enables analysts to identify specific topics in CTI data sources. We demonstrate how our method, released as an open source tool, can be used to investigate three case studies revolving around the research question whether attackers are deploying AI for malicious purposes “in the wild,” and, if so, what features of AI interest them the most. We analyzed 7 million discussions from 18 underground forums. Our findings reveal that attackers may favor easy-to-use AI toolkits over the sophisticated AI techniques envisioned in research papers. Our contributions are further validated by a user study (N = 24) with CTI experts, confirming the relevance of our research. Ultimately, we advocate future endeavors to account for the opinion of CTI practitioners—who should, in turn, try to cooperate.
Screening and Assessment of Gambling in Military Populations : A Systematic Review and Gap Analysis
(2025-12) Rayner, Chloe; Treacy, Samantha; Dighton, Glen; Champion, Hannah; Dymond, Simon; Department of Psychology
Purpose of Review: This review evaluates the use of assessment and screening tools for gambling behaviour in military populations. Although military personnel and veterans face elevated risks, most available tools were developed for general populations and may not account for military-specific factors. The review identifies the screening and assessment measures used in military population studies, assesses their psychometric properties, and highlights key methodological gaps through a structured gap analysis. Recent Findings: Across 46 studies, 28 screening or assessment tools were identified, including commonly used measures such as the PGSI, SOGS, BBGS, GRCS, MAGS, and NODS-CLiP. While these tools vary in length and purpose, none were specifically designed or validated for use with military populations. Validation studies showed inconsistent reliability, sensitivity, and specificity. Notably, no tools adequately reflected military-relevant issues such as deployment stress, occupational impact, or co-occurring mental health conditions. Barriers to accurate screening, including stigma and underreporting, further complicate assessment in this context. Summary: There is a critical need for the development of validated, military-specific screening and assessment tools that address the unique experiences and risks within this population. Existing measures may underestimate or misclassify gambling-related harm, limiting early identification and effective intervention. Future research should prioritise the design and validation of tailored tools that can support accurate screening and assessment, reduce stigma, and inform better-targeted prevention and treatment strategies for military personnel and veterans.
The future of learning : how artificial intelligence and other new technologies revolutionize project management education and foster Project Learning Intelligence
(2025-12) Mariani, Costanza; Aaltonen, Kirsi; Ingason, Helgi þor; Mancini, Mauro; Huemann, Martina; Department of Engineering
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