Now showing items 1-20 of 4904

    • Communication and Technology in Wildfire Emergency Response in Norway: Current Methods, Improvement Potential, and Barriers 

      Torbjørnsdatter, Anette Mauno (Master thesis; Mastergradsoppgave, 2024-06-20)
      In recent years, rising temperatures have contributed to the spread of wildfires globally, including in Norway. Record high temperatures and wildfires are placing increasing pressure on the country's fire and rescue services, highlighting the need for effective wildfire response strategies. This study explores how effective communication, and technological advancements can lead to a more successful ...
    • Styrking av sikkerheten i naturbasert opplevelsesturisme En analyse av IML-sertifiseringens bidrag til sikkerhetspraksis i Norge 

      Alfredsen, Tord Evald (Master thesis; Mastergradsoppgave, 2024-06-13)
      Sammendrag Denne masteroppgaven utforsker de sentrale aspektene ved sikkerhetsledelse i naturbasert opplevelsesturisme gjennom en dyptgående analyse av International Mountain Leader (IML) sertifiseringsprogrammet. Forskningen har som mål å forstå hvordan erfarne fjellguider og bedriftsledere vurderer betydningen av IML-sertifisering sammenlignet med uformell guidekompetanse for å sikre kvalitet og ...
    • En verden i uro: hvordan kan vi styrke beredskapen mellom Norge og Finland? 

      Rustad, Siri Søbakken (Master thesis; Mastergradsoppgave, 2024-06-03)
      Den sikkerhetspolitiske situasjonen er i rask endring og fokus på samfunnssikkerhet og beredskap har kanskje aldri vært større. I 2023 la Totalberedskapskommisjonen frem sin rapport som understreker behovet for økt samarbeid i Norden. Rapporten viser til at vi må styrke samarbeidet for et bedre totalforsvar, samfunnssikkerhet og beredskap ved å jobbe tettere sammen på tvers av landegrensene. Dette ...
    • Situasjonsforståelse, krisehåndtering og resiliens i møte med hybride trusler: En kvalitativ case-studie av to hybride trusselhendelser i Norge 

      Holter, Siri (Master thesis; Mastergradsoppgave, 2024-06-02)
      Denne masteroppgaven har en utforskende tilnærming til hybride trusler. Hybride trusler har i de senere årene blitt mer aktuelt med tanke på den voksende digitaliseringen av samfunnet, som åpner opp for et bredere virkemiddelbruk. Oppgaven er gjennomført som en kvalitativ case-studie med to caser om informerte hybride trusler som har funnet sted i Norge. Datamaterialet i denne oppgaven har blitt ...
    • Barn og unges motivasjon for gjengdeltakelse – en litteraturstudie 

      Luneborg, Hanne (Master thesis; Mastergradsoppgave, 2024-05-31)
      Barn og unges deltakelse i kriminelle gjenger i Sverige har blitt et stadig økende problem, og grov vold og drap blant unge har nådd et rekordhøyt nivå. Barn og unge rekrutteres av kriminelle gjenger for å transportere, selge og oppbevare narkotika og våpen, delta i bedragerier og utføre vold. Gjengkriminalitet blant barn og unge er en voksende utfordring i flere områder i Sverige, og ytterligere ...
    • High-resolution imaging in acoustic microscopy using deep learning 

      Banerjee, Pragyan; Milind Akarte, Shivam; Kumar, Prakhar; Shamsuzzaman, Muhammad; Butola, Ankit; Agarwal, Krishna; Prasad, Dilip Kumar; Melandsø, Frank; Habib, Anowarul (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-18)
      Acoustic microscopy is a cutting-edge label-free imaging technology that allows us to see the surface and interior structure of industrial and biological materials. The acoustic image is created by focusing high-frequency acoustic waves on the object and then detecting reflected signals. On the other hand, the quality of the acoustic image's resolution is influenced by the signal-to-noise ratio, the ...
    • In-Cloud Icing - A case study at Fagernesfjellet, Norway using Weather Research and Forecasting model and observations 

      Punde, Pravin Bhausaheb; Birkelund, Yngve; Virk, Muhammad Shakeel; Han, Xingbo (Chapter; Bokkapittel, 2024)
      Atmospheric icing poses significant challenges to infrastructure integrity and transportation safety, especially in mountainous regions such as Fagernesfjellet, Norway. This paper presents a comprehensive case study of in-cloud icing over Fagernesfjellet, leveraging hindcast data obtained through dynamic downscaling with the Weather Research and Forecasting (WRF) model alongside observational data. ...
    • Pre-Last Glacial Maximum glaciations in the Barents Sea: seismic investigations 

      Alexandropoulou, Nikolitsa (Doctoral thesis; Doktorgradsavhandling, 2024-09-19)
      The main objective of this PhD thesis is to improve understanding of the evolution of pre-Last Glacial Maximum Barents Sea glaciations through the study of glacial deposits from the continental margin using 3D and 2D seismic reflection data. Paper 1 presents a new chronostratigraphic framework, covering the last ∼2.7 Ma, for the Svalbard-Barents Sea margin, using 2D seismic data to extend available ...
    • Combinatorics and semi-algebraic geometry of orbit spaces: Hyperbolic and stable polynomials, the degree principle and few inequalities defining orbit spaces 

      Schabert, Robin (Doctoral thesis; Doktorgradsavhandling, 2024-09-20)
      <p>Algebraic geometry studies the set of common zeros of a system of polynomials in one or several variables - most commonly over algebraically closed fields. Real algebraic geometry studies sets defined by a finite system of polynomial inequalities. <p>A starting point for modern real algebraic geometry can be traced back to Hilbert: In 1888, Hilbert showed the existence of nonnegative polynomials ...
    • Slicing orbit spaces: Geometry and combinatorics of hyperbolic and even-hyperbolic slices 

      Lien, Arne (Doctoral thesis; Doktorgradsavhandling, 2024-09-18)
      Motivated by a connection to Timofte’s degree and halfdegree principle we study canonical hyperbolic slices, that is, sets of univariate hyperbolic polynomials that share the same first few coefficients. We study the geometric and combinatorial properties of a natural stratification of these slices and use these properties to improve upon the degree principle. Amongst the geometric properties we ...
    • Response to “Microdosing: A Conceptual Framework for Use as Programming Strategy for Resistance Training in Team Sports” 

      Afonso, José; Nakamura, Fàbio Yuzo; Matias Do Vale Baptista, Ivan Andre; Rendeiro-Pinho, Gonçalo; Brito, Joao; Figueiredo, Pedro (Journal article; Tidsskriftartikkel, 2024-07-19)
      <p>This letter was written in response to the article “Microdosing: A conceptual framework for use as programming strategy for resistance training in team sports”, recently published in the <i>Strength and Conditioning Journal</i>. The article proposes a framework for implementing microdosing of resistance training across several training and competitive contexts and presents a comprehensive proposal ...
    • Enhancing fuel injection system reliability through Weibull family functions analysis 

      Nouri Qarahassanlou, Ali; Barabadi, Abbas; Saleki, Meisam; Ali, Rahimazar; Rezakhania, Parisa; Gholamia, Masoume (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-01)
      The efficient operation of heavy machinery is crucial to the success of mining and civil construction operations. To guarantee this performance, equipment performance is assessed using the Reliability Index, which analyzes failures to study the ability of a system to carry out its intended functions under predetermined conditions. On the other hand, the failure rate and operational environmental ...
    • The Complexity of Defining and Assessing the Most Demanding Periods of Play in Team Sports: A Current Opinion 

      Lino Mesquita, Joao; Baptista, Ivan; Nakamura, Fàbio Yuzo; Casanova, Filipe; Yousefian, Farzad; Travassos, Bruno; Afonso, José (Journal article; Tidsskriftartikkel, 2024-07-19)
      In the context of training load monitoring, the most demanding periods of play (MDPs) have increasingly caught the interest of researchers. However, the MDPs analysis is currently embryonic, raising some conceptual and methodological questions. This current opinion synthesizes the methods used for the MDPs analysis while highlighting conceptual and methodological gaps and proposing a broader perspective ...
    • Rethinking gold(II) porphyrins: an inherent wave distortion 

      Ghosh, Abhik; Conradie, Jeanet (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-23)
      Relativistic DFT (OLYP-D3/ZORA-STO-TZ2P) calculations predict low adiabatic ionization potentials for gold(II) porphyrins, from 4.60 eV for Au[TPP] (TPP = tetraphenylporphyrin) to 5.34 eV for Au[TPFPP] [TPFPP = tetrakis(pentafluorophenyl)porphyrin]. These values are over 1 eV lower than those calculated for analogous silver(II) porphyrins, reflecting much greater relativistic destabilization of ...
    • Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption 

      Praveen Kumar, Kumar; Khedkar, Rohit; Sharma, Prabhakar; Elavarasan, Rajvikram Madurai; Paramasivam, Prabhu; Wanatasanappan, V. Vicki; Dhanasekaran, Sesathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-30)
      The utilization of nanofluids (NFs) holds promise for enhancing the thermal efficiency of solar thermal collectors. Among the various NF solutions, red mud (RM) NFs have gained attention due to their effective absorption of solar thermal energy. RM comprises precious metal oxides, making it a proficient medium for direct solar heat absorption. This study aimed to formulate waterbased RM NFs with ...
    • Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data 

      Rusin, Jozef; Lavergne, Thomas; Doulgeris, Anthony Paul; Scott, K. Andrea (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-30)
      Passive-microwave sea ice concentration (SIC) algorithms employ different frequencies and polarisations in their operational implementations. Commonly, these algorithms utilise combinations such as 19/37 GHz, yielding reduced measurement uncertainties but at a coarse spatial resolution. Alternatively, these algorithms can solely use 89 GHz, producing a higher spatial resolution but with increased ...
    • Evolutionary model for glacial lake-outburst fans at the ice-sheet front: Development of meltwater outlets and origins of bedforms 

      Weckwerth, Piotr; Kalińska, Edyta; Wysota, Wojciech; Krawiec, Arkadiusz; Alexanderson, Helena; Chabowski, Marek (Journal article; Tidsskriftartikkel, 2024-03-08)
      <p>Large-scale landforms originated from jökulhlaups or glacial lake-outburst floods (GLOFs), and their small-scale components help in recognising the sedimentary environment of the flood. The GLOF fans that developed along the Pleistocene ice-sheet margin have not been investigated in detail, and north-eastern Poland, with its Megaflood Landform System and Bachanowo and Szeszupka fans, seems ideal ...
    • An individually adjusted approach for communicating epidemiological results on health and lifestyle to patients 

      Waaler, Per Niklas Benzler; Bongo, Lars Ailo Aslaksen; Rolandsen, Christina; Lorem, Geir Fagerjord (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-08)
      If scientific research on modifiable risk factors was more accessible to the general population there is a potential to prevent disease and promote health. Mobile applications can automatically combine individual characteristics and statistical models of health to present scientific information as individually tailored visuals, and thus there is untapped potential in incorporating scientific ...
    • Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations 

      Hicks, Steven; Storås, Andrea; Riegler, Michael; Midoglu, Cise; Hammou, Malek; Lange, Thomas de; Parasa, Sravanthi; Halvorsen, Pål; Strumke, Inga (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-05-31)
      Deep learning has achieved immense success in computer vision and has the potential to help physicians analyze visual content for disease and other abnormalities. However, the current state of deep learning is very much a black box, making medical professionals skeptical about integrating these methods into clinical practice. Several methods have been proposed to shed some light on these black ...
    • Assessing the potential of Eddy detection in MIZ using SAR and Lagrangian modeling: A test case on Fram Strait 

      Sandalyuk, Nikita V.; Khachatrian, Eduard; Budyansky, Maxim (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-22)
      The analysis of ocean eddies in the marginal ice zone via remote sensing and modeling data is a challenging task. However, it is of crucial importance for various scientific applications and anthropogenic activities in the Arctic. Models often struggle to accurately represent eddies near the MIZ due to the intricate nature of sea ice-ocean interactions, unresolved small-scale processes, and ...