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.
Flokkar í Opnum vísindum
Veldu flokk til að skoða.
- University of Iceland
- University of Akureyri
- Bifröst University
- Hólar University College
- Reykjavík University
- IRIS
- Agricultural University of Iceland
- National and University Library of Iceland
- Iceland University of the Arts
Nýlega bætt við
Ethical competence in nursing : A theoretical definition
(2025-06-09) Halldorsdottir, Sigridur; Bryngeirsdottir, Hulda S.; Faculty of Nursing
Background: Ethical competence in nursing is essential. However, a theoretical definition of ethical competence in nursing and the critical components of ethical competence appear to be absent, resulting in a lack of convergence on the core content to be taught on ethical competence in nursing education. Aim and research questions: This study aimed to answer the following questions: What are the essential components of ethical competence in nursing? What is their definition in terms of nursing? What is the theoretical definition of ethical competence in nursing? Method: Walker and Avant’s concept synthesis. Results: Ethical competence in nursing consists of 12 essential components, defined and grouped into three main themes: (1) Ethical knowledge and understanding; having knowledge and understanding of the main theories of theoretical and practical ethics and the principal codes of ethics in nursing; (2) Personal ethical qualities; having ethical awareness and ethical self-awareness, ethical sensitivity, ethical perception, and ethical judgement. (3) Ethical ability and courage to perform; capable of moral reasoning, ethical reflection, and ethical decision-making, having moral courage and demonstrating ethical action and behaviour. The theoretical definition is thus: Nurses considered ethically competent have knowledge and understanding of the main ethical principles in nursing and possess personal ethical qualities, that is, ethical self-awareness, ethical awareness, ethical sensitivity, ethical perception, and ethical judgment as well as having the ethical ability and the courage to perform ethically, that is, capable of moral reasoning, ethical reflection, ethical decision-making, having moral courage, they demonstrate ethical action, and ethically responsible conduct. Conclusions: This study is essential to nursing as a discipline and profession. The findings provide a theoretical definition of ethical competence in nursing and the qualities characterising ethically competent nurses, which can be of great value in clinical practice, nursing education, leadership, and nursing research and theory development.
Editorial Introduction : doing theory
(2018) Bragadóttir, Guðrún Elsa; Pamula, Natalia; Tatar, Doruk
Tectonic and volcanic strong ground motion in Iceland: from empirical modelling to physics-based simulations
(University of Iceland, School of Engineering and Natural Sciences, Faculty of Civil and Environmental Engineering, 2025-11) Hernández Aguirre, Victor Moises; Rajesh Rupakhety, Roberto Paolucci; Umhverfis- og byggingarverkfræðideild (HÍ); Faculty of Civil and Environmental Engineering (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
This dissertation presents advances in computational methods for the estimation of earthquake ground motion with applications to seismic hazard assessment in Iceland and beyond. The focus is on three-dimensional physics-based simulations (PBS), that with the growing accessibility of high-performance computing, have become a standard tool for simulating earthquake ground motions. Three main topics are addressed. First, the 3D seismic response of the Mexico City basin was investigated through PBS. The results show that when the seismic source is close to the basin, the incoming wave field deviates significantly from the commonly assumed vertically propagating S-waves. Moreover, surface waves are generated at the basin edges well after the direct arrivals, which elongates ground-motion duration. They have mostly prograde motion consistent with the Rayleigh fundamental mode. These results highlight how PBS can be effectively used in complex geological environments.The second topic focuses on strong ground motions generated by volcano-tectonic earthquakes in the Reykjanes Peninsula. Analysis of recent events shows unusually large peak ground accelerations and long-period amplitudes, in some cases exceeding the 475-year return period design spectra. The events display hybrid characteristics between volcano-tectonic and long-period earthquakes, and their scaling and attenuation differ from those of purely tectonic earthquakes. To account for these differences, a dedicated ground-motion model (GMM) for volcanic earthquakes in Iceland was developed, providing an essential tool for improving seismic hazard estimates in the Reykjanes Peninsula, the Capital area, and other volcanic regions worldwide.The third part of this work advances PBS methodologies through improvements in both finite-source characterization and broadband ground-motion simulation. A new pseudo-dynamic rupture framework was introduced to generate realistic heterogeneous source models, enabling semi-automatic construction of complex kinematic ruptures. Validated with the 2000 South Iceland earthquakes, this approach allows deterministic simulations to account for source uncertainties and reproduce the high-frequency content of ground motion. In addition, the ANN2BB (Artificial Neural Network to BroadBand) hybrid simulation technique was enhanced with transfer learning, combining global and limited local datasets. This refinement reduces overfitting, corrects distance-related biases, and extends broadband ground-motion prediction to regions with sparse instrumental records, such as Iceland.Overall, the developments presented in this dissertation improve the predictability power and scope of computational earthquake ground-motion estimation. They contribute to a better understanding of basin effects in large urban areas, to a more accurate treatment of volcanic seismicity in hazard assessment, and to the refinement of PBS that are increasingly entering engineering practice.
Cold optical design for the Large Aperture Simons Observatory telescope
(2018-08-15) Dicker, S. R.; Gallardo, P. A.; Gudmundsson, J. E; Mauskopf, P. D.; Ali, A.; Ashton, P. C.; Coppi, G.; Devlin, M. J.; Galitzki, N.; Ho, S. P.; Hill, C. A.; Hubmayr, J.; Keating, B.; Lee, A. T.; Limon, M.; Matsuda, F.; McMahon, J.; Niemack, M. D.; Orlowski-Scherer, J. L.; Piccirillo, L.; Salatino, M.; Simon, S. M.; Staggs, S. T.; Thornton, R.; Ullom, J. N.; Vavagiakis, E. M.; Wollack, E. J.; Xu, Z.; Zhu, N.; Faculty of Physical Sciences
The Simons Observatory will consist of a single large (6 m diameter) telescope and a number of smaller (0.5 m diameter) refracting telescopes designed to measure the polarization of the Cosmic Microwave Background to unprecedented accuracy. The large aperture telescope is the same design as the CCAT-prime telescope, a modified Crossed Dragone design with a field-of-view of over 7.8 degrees diameter at 90 GHz. This paper presents an overview of the cold reimaging optics for this telescope and what drove our choice of 350-400 mm diameter silicon lenses in a 2.4 m cryostat over other possibilities. We will also consider the future expandability of this design to CMB Stage-4 and beyond.
Planck 2015 results. I. Overview of products and scientific results
(2015-02-05) Collaboration, Planck; Adam, R.; Ade, P. A. R.; Aghanim, N.; Akrami, Y.; Alves, M. I. R.; Arnaud, M.; Arroja, F.; Aumont, J.; Baccigalupi, C.; Ballardini, M.; Banday, A. J.; Barreiro, R. B.; Bartlett, J. G.; Bartolo, N.; Basak, S.; Battaglia, P.; Battaner, E.; Battye, R.; Benabed, K.; Benoît, A.; Benoit-Lévy, A.; Bernard, J. -P.; Bersanelli, M.; Bertincourt, B.; Bielewicz, P.; Bonaldi, A.; Bonavera, L.; Bond, J. R.; Borrill, J.; Bouchet, F. R.; Boulanger, F.; Bucher, M.; Burigana, C.; Butler, R. C.; Calabrese, E.; Cardoso, J. -F.; Carvalho, P.; Casaponsa, B.; Castex, G.; Catalano, A.; Challinor, A.; Chamballu, A.; Chary, R. -R.; Chiang, H. C.; Chluba, J.; Christensen, P. R.; Church, S.; Clemens, M.; Clements, D. L.; Colombi, S.; Colombo, L. P. L.; Combet, C.; Comis, B.; Contreras, D.; Couchot, F.; Coulais, A.; Crill, B. P.; Cruz, M.; Curto, A.; Cuttaia, F.; Danese, L.; Davies, R. D.; Davis, R. J.; Bernardis, P. de; Rosa, A. de; Zotti, G. de; Delabrouille, J.; Delouis, J. -M.; Désert, F. -X.; Valentino, E. Di; Dickinson, C.; Diego, J. M.; Dolag, K.; Dole, H.; Donzelli, S.; Doré, O.; Douspis, M.; Ducout, A.; Dunkley, J.; Dupac, X.; Efstathiou, G.; Eisenhardt, P. R. M.; Elsner, F.; Enßlin, T. A.; Eriksen, H. K.; Falgarone, E.; Fantaye, Y.; Farhang, M.; Feeney, S.; Fergusson, J.; Fernandez-Cobos, R.; Feroz, F.; Finelli, F.; Florido, E.; Forni, O.; Frailis, M.; Fraisse, A. A.; Franceschet, C.; Franceschi, E.; Frejsel, A.; Frolov, A.; Galeotta, S.; Galli, S.; Ganga, K.; Gauthier, C.; Génova-Santos, R. T.; Gerbino, M.; Ghosh, T.; Giard, M.; Giraud-Héraud, Y.; Giusarma, E.; Gjerløw, E.; González-Nuevo, J.; Górski, K. M.; Grainge, K. J. B.; Gratton, S.; Gregorio, A.; Gruppuso, A.; Gudmundsson, J. E.; Hamann, J.; Handley, W.; Hansen, F. K.; Hanson, D.; Harrison, D. L.; Heavens, A.; Helou, G.; Henrot-Versillé, S.; Hernández-Monteagudo, C.; Herranz, D.; Hildebrandt, S. R.; Hivon, E.; Hobson, M.; Holmes, W. A.; Hornstrup, A.; Hovest, W.; Huang, Z.; Huffenberger, K. M.; Hurier, G.; Ilić, S.; Jaffe, A. H.; Jaffe, T. R.; Jin, T.; Jones, W. C.; Juvela, M.; Karakci, A.; Keihänen, E.; Keskitalo, R.; Kiiveri, K.; Kim, J.; Kisner, T. S.; Kneissl, R.; Knoche, J.; Krachmalnicoff, N.; Kunz, M.; Kurki-Suonio, H.; Lacasa, F.; Lagache, G.; Lähteenmäki, A.; Lamarre, J. -M.; Langer, M.; Lasenby, A.; Lattanzi, M.; Lawrence, C. R.; Jeune, M. Le; Leahy, J. P.; Lellouch, E.; Leonardi, R.; León-Tavares, J.; Lesgourgues, J.; Levrier, F.; Lewis, A.; Liguori, M.; Lilje, P. B.; Linden-Vørnle, M.; Lindholm, V.; Liu, H.; López-Caniego, M.; Lubin, P. M.; Ma, Y. -Z.; Macías-Pérez, J. F.; Maggio, G.; Mak, D. S. Y.; Mandolesi, N.; Mangilli, A.; Marchini, A.; Marcos-Caballero, A.; Marinucci, D.; Marshall, D. J.; Martin, P. G.; Martinelli, M.; Martínez-González, E.; Masi, S.; Matarrese, S.; Mazzotta, P.; McEwen, J. D.; McGehee, P.; Mei, S.; Meinhold, P. R.; Melchiorri, A.; Melin, J. -B.; Mendes, L.; Mennella, A.; Migliaccio, M.; Mikkelsen, K.; Mitra, S.; Miville-Deschênes, M. -A.; Molinari, D.; Moneti, A.; Montier, L.; Moreno, R.; Morgante, G.; Mortlock, D.; Moss, A.; Mottet, S.; Müenchmeyer, M.; Munshi, D.; Murphy, J. A.; Narimani, A.; Naselsky, P.; Nastasi, A.; Nati, F.; Natoli, P.; Negrello, M.; Netterfield, C. B.; Nørgaard-Nielsen, H. U.; Noviello, F.; Novikov, D.; Novikov, I.; Olamaie, M.; Oppermann, N.; Orlando, E.; Oxborrow, C. A.; Paci, F.; Pagano, L.; Pajot, F.; Paladini, R.; Pandolfi, S.; Paoletti, D.; Partridge, B.; Pasian, F.; Patanchon, G.; Pearson, T. J.; Peel, M.; Peiris, H. V.; Pelkonen, V. -M.; Perdereau, O.; Perotto, L.; Perrott, Y. C.; Perrotta, F.; Pettorino, V.; Piacentini, F.; Piat, M.; Pierpaoli, E.; Pietrobon, D.; Plaszczynski, S.; Pogosyan, D.; Pointecouteau, E.; Polenta, G.; Popa, L.; Pratt, G. W.; Prézeau, G.; Prunet, S.; Puget, J. -L.; Rachen, J. P.; Racine, B.; Reach, W. T.; Rebolo, R.; Reinecke, M.; Remazeilles, M.; Renault, C.; Renzi, A.; Ristorcelli, I.; Rocha, G.; Roman, M.; Romelli, E.; Rosset, C.; Rossetti, M.; Rotti, A.; Roudier, G.; d'Orfeuil, B. Rouillé; Rowan-Robinson, M.; Rubiño-Martín, J. A.; Ruiz-Granados, B.; Rumsey, C.; Rusholme, B.; Said, N.; Salvatelli, V.; Salvati, L.; Sandri, M.; Sanghera, H. S.; Santos, D.; Saunders, R. D. E.; Sauvé, A.; Savelainen, M.; Savini, G.; Schaefer, B. M.; Schammel, M. P.; Scott, D.; Seiffert, M. D.; Serra, P.; Shellard, E. P. S.; Shimwell, T. W.; Shiraishi, M.; Smith, K.; Souradeep, T.; Spencer, L. D.; Spinelli, M.; Stanford, S. A.; Stern, D.; Stolyarov, V.; Stompor, R.; Strong, A. W.; Sudiwala, R.; Sunyaev, R.; Sutter, P.; Sutton, D.; Suur-Uski, A. -S.; Sygnet, J. -F.; Tauber, J. A.; Tavagnacco, D.; Terenzi, L.; Texier, D.; Toffolatti, L.; Tomasi, M.; Tornikoski, M.; Tristram, M.; Troja, A.; Trombetti, T.; Tucci, M.; Tuovinen, J.; Türler, M.; Umana, G.; Valenziano, L.; Valiviita, J.; Tent, B. Van; Vassallo, T.; Vidal, M.; Viel, M.; Vielva, P.; Villa, F.; Wade, L. A.; Walter, B.; Wandelt, B. D.; Watson, R.; Wehus, I. K.; Welikala, N.; Weller, J.; White, M.; White, S. D. M.; Wilkinson, A.; Yvon, D.; Zacchei, A.; Zibin, J. P.; Zonca, A.; Raunvísindadeild; Deild kennslu- og menntunarfræði
The European Space Agency's Planck satellite, dedicated to studying the early Universe and its subsequent evolution, was launched 14~May 2009 and scanned the microwave and submillimetre sky continuously between 12~August 2009 and 23~October 2013. In February~2015, ESA and the Planck Collaboration released the second set of cosmology products based on data from the entire Planck mission, including both temperature and polarization, along with a set of scientific and technical papers and a web-based explanatory supplement. This paper gives an overview of the main characteristics of the data and the data products in the release, as well as the associated cosmological and astrophysical science results and papers. The science products include maps of the cosmic microwave background (CMB), the thermal Sunyaev-Zeldovich effect, and diffuse foregrounds in temperature and polarization, catalogues of compact Galactic and extragalactic sources (including separate catalogues of Sunyaev-Zeldovich clusters and Galactic cold clumps), and extensive simulations of signals and noise used in assessing the performance of the analysis methods and assessment of uncertainties. The likelihood code used to assess cosmological models against the Planck data are described, as well as a CMB lensing likelihood. Scientific results include cosmological parameters deriving from CMB power spectra, gravitational lensing, and cluster counts, as well as constraints on inflation, non-Gaussianity, primordial magnetic fields, dark energy, and modified gravity.