Blar i NTNU Open på tittel

Viser treff 71642-71661 av 100509

    • Predator–prey interactions in the Arctic: DNA metabarcoding reveals that nestling diet of snow buntings reflects arthropod seasonality 

      Stolz, Christian; Varpe, Øystein; Ims, Rolf Anker; Sandercock, Brett Kevin; Stokke, Bård Gunnar; Fossøy, Frode (Peer reviewed; Journal article, 2023)
      Tundra arthropods are of considerable ecological importance as a seasonal food source for many arctic-breeding birds. Dietary composition and food preferences are rarely known, complicating assessments of ecological ...

    • Predefined angle of attack and corner shape effects on the effectiveness of square-shaped galloping energy harvesters 

      Zhang, Mingjie; Abdelkefi, Abdessattar; Yu, Haiyan; Ying, Xuyong; Gaidai, Oleg; Wang, Junlei (Peer reviewed; Journal article, 2021)
      Energy harvesting based on transverse galloping of a square cylinder has been widely studied while the effects of angle of attack and corner shape remain unclear. This study proposes to explore the impacts of these two ...

    • Prediagnosis Leisure-Time Physical Activity and Lung Cancer Survival: A Pooled Analysis of 11 Cohorts 

      Yang, Jae Jeong; Yu, Danxia; White, Emily; Lee, Dong Hoon; Blot, William; Robien, Kim; Sinha, Rashmi; Park, Yikyung; Takata, Yumie; Gao, Yu-Tang; Smith-Byrne, Karl; Monninkhof, Evelyn M; Kaaks, Rudolf; Langhammer, Arnulf; Borch, Kristin Benjaminsen; Al-Shaar, Laila; Lan, Qing; Sørgjerd, Elin Pettersen; Zhang, Xuehong; Zhu, Clair; Chirlaque, María Dolores; Severi, Gianluca; Overvad, Kim; Sacerdote, Carlotta; Aune, Dagfinn; Johansson, Mattias; Smith-Warner, Stephanie A; Zheng, Wei; Shu, Xiao-Ou (Peer reviewed; Journal article, 2022)
      Background Little is known about the association between physical activity before cancer diagnosis and survival among lung cancer patients. In this pooled analysis of 11 prospective cohorts, we investigated associations ...

    • Prediagnostic calcium intake and lung cancer survival: A pooled analysis of 12 cohort studies 

      Yu, Danxia; Takata, Yumie; Smith-Warner, Stephanie A.; Blot, William; Sawada, Norie; White, Emily; Freedman, Neal; Robien, Kim; Giovannucci, Edward; Zhang, Xuehong; Park, Yikyung; Gao, Yu-Tang; Chlebowski, Rowan T.; Langhammer, Arnulf; Yang, Gong; Severi, Gianluca; Manjer, Jonas; Khaw, Kay-Tee; Weiderpass, Elisabete; Liao, Linda M.; Caporaso, Neil; Krokstad, Steinar; Hveem, Kristian; Sinha, Rashmi; Ziegler, Regina; Tsugane, Shoichiro; Xiang, Yong-Bing; Johansson, Mattias; Zheng, Wei; Shu, Xiao-Ou (Journal article, 2017)
      Background: Lung cancer is the leading cause of cancer death. Little is known about whether prediagnostic nutritional factors may affect survival. We examined the associations of prediagnostic calcium intake from foods ...

    • Prediagnostic circulating levels of sex hormones and survival in esophageal adenocarcinoma 

      Xie, Shao-hua; Ness-Jensen, Eivind; Langseth, Hilde; Gislefoss, Randi Elin; Mattsson, Fredrik; Lagergren, Jesper (Peer reviewed; Journal article, 2021)
      ex hormonal differences may contribute to the strong male predominance in esophageal adenocarcinoma (EAC), but whether sex hormone levels influence survival in EAC is unstudied. Our study aimed to assess associations between ...

    • Predication in Syntax: Toward a Semantic Explanation of the Subject Requirement 

      Åfarli, Tor Anders (Chapter, 2017)

    • Prediciting Filter Lifetime for Hydraulic Systems 

      Skjong, Erlend Synnes (Bachelor thesis, 2018)
      Fokuset på denne oppgaven var å utvikle en mer pålitelig og generell metode for å forutsi tilstanden til filtrene som er installert i hydrauliske systemer. Med bedre overvåkning og predikasjoner på levetid for disse ...

    • The predictability of house prices: “human against machine” 

      Birkeland, Kristoffer; D'Silva, Allan Daniel; Füss, Roland August; Oust, Are (Peer reviewed; Journal article, 2021)
      We develop an automated valuation model (AVM) for the residential real estate market by leveraging stacked generalization and a comparable market analysis. Specifically, we combine four novel ensemble learning methods with ...

    • Predictable computing for cyber-physical systems 

      Jellum, Erling Rennemo (Doctoral theses at NTNU;2024:49, Doctoral thesis, 2024)
      Cyber-physical systems encompass a vast category of systems where computers operate in feedback with physical systems. Cyber-physical systems hold the potential for enormous societal impact, comparable to that of the ...

    • Predicted versus actual rock mass conditions: a review of four tunnel projects in Nepal Himalaya 

      Panthi, Krishna Kanta; Nilsen, Bjørn (Journal article; Peer reviewed, 2007)
      The Himalayan region possesses enormous potential for hydropower development. However, there exists great challenge for the successful underground excavation due to complex geological set up of the region. It is generally ...

    • Predicting Academic Staffs Behaviour Intention and Actual Use of Blended Learning in Higher Education: Model Development and Validation 

      Bokolo, Anthony Junior; Kamaludin, Adzhar; Romli, Awanis (Peer reviewed; Journal article, 2021)
      Blended Learning (BL) has been implemented by lecturers in higher educations for promoting effective pedagogical practices. However, intention to use and actual usage of BL by lecturers in higher education seems to be a ...

    • Predicting acute side effects of stimulant medication in pediatric attention deficit/hyperactivity disorder: data from quantitative electroencephalography, event-related potentials, and a continuous-performance test 

      Øgrim, Kjell Geir; Hestad, Knut; Brunner, Jan; Kropotov, Yury (Journal article; Peer reviewed, 2013)
      Background: The aim of this study was to search for predictors of acute side effects of stimulant medication in pediatric attention deficit/hyperactivity disorder (ADHD), emphasizing variables from quantitative ...

    • Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test 

      Bergquist, Ronny; Nerz, Corinna; Taraldsen, Kristin; Mellone, Sabato; Ihlen, Espen Alexander F.; Vereijken, Beatrix; Helbostad, Jorunn L.; Becker, Clemens; Mikolaizak, A. Stefanie (Peer reviewed; Journal article, 2020)
      Extensive test batteries are often needed to obtain a comprehensive picture of a person’s functional status. Many test batteries are not suitable for active and healthy adults due to ceiling effects, or require a lot of ...

    • Predicting AEA dosage by Foam Index and adsorption on Fly Ash 

      Jacobsen, Stefan; Ollendorff, Margrethe; Geiker, Mette Rica; Tunstall, Lori; Scherer, George W. (Chapter, 2012)
      Abstract: The unpredictable air entrainment in fly ash concrete caused by carbon in fly ash was studied by measuring adsorption of Air Entraining Agents (AEA) on the fly ash and by Foam Index (FI) testing. The FI test ...

    • Predicting aerosol size distribution development in absorption columns 

      Majeed, Hammad; Hillestad, Magne; Knuutila, Hanna K; Svendsen, Hallvard Fjøsne (Journal article; Peer reviewed, 2018)
      There are two main mechanisms for amine emissions from absorption columns. The first is connected to the volatility of amine, determining the gaseous concentration. The second mechanism is via aerosol droplets containing ...

    • Predicting Allosteric Regulation at Genome Scale 

      Røed, Elin Sandertun (Master thesis, 2023)
      Celler administrerer et ubegripelig antall reaksjonsveier og reaksjoner for å holde seg i live. For å sikre korrekt produksjon av reaktanter for de aktuelle forholdene er cellen avhengig av å regulere proteinaktivitet. ...

    • Predicting an unstable tear film through artificial intelligence 

      Fineide, Fredrik; Storås, Andrea; Chen, Xiangjun; Magnø, Morten Schjerven; Yazidi, Anis; Riegler, Michael; Utheim, Tor Paaske (Peer reviewed; Journal article, 2022)
      Dry eye disease is one of the most common ophthalmological complaints and is defined by a loss of tear film homeostasis. Establishing a diagnosis can be time-consuming, resource demanding and unpleasant for the patient. ...

    • Predicting annual illuminance and operative temperature in residential buildings using artificial neural networks 

      Kristiansen, Tobias (Master thesis, 2021)
      Mennesker bruker 87 % av tiden sin innendørs, for det meste i sin egen bolig. Innemiljøet er en avgjørende faktor for folks helse og velferd. Det er en økende utfordring med overoppheting i bygninger på grunn av varmere ...

    • Predicting annual illuminance and operative temperature in residential buildings using artificial neural networks 

      Kristiansen, Tobias; Jamil, Faisal; Hameed, Ibrahim A.; Hamdy, Mohamed (Peer reviewed; Journal article, 2022)
      Simulation-based multi-objective optimizations is proving to be an effective approach for supporting the building design and finding a balance between daylight availability, thermal comfort and energy performance. This ...

    • Predicting bending moments with machine learning 

      Celledoni, Elena; Gustad, Halvor Snersrud; Kopylov, Nikita; Sundklakk, Henrik Sperre (Peer reviewed; Journal article, 2019)
      We investigate the possibility of predicting the bending moment of slender structures based on a limited number of deflection measurements. These predictions can help to estimate the wear and tear of the structures. We ...