Institution
SINTEF
Facility•Trondheim, Norway•
About: SINTEF is a facility organization based out in Trondheim, Norway. It is known for research contribution in the topics: Catalysis & Electric power system. The organization has 5101 authors who have published 14805 publications receiving 347172 citations. The organization is also known as: The Foundation for Scientific and Industrial Research & Foundation for Scientific and Industrial Research.
Papers published on a yearly basis
Papers
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TL;DR: A systematic review of empirical studies of agile software development up to and including 2005 was conducted and provides a map of findings, according to topic, that can be compared for relevance to their own settings and situations.
Abstract: Agile software development represents a major departure from traditional, plan-based approaches to software engineering. A systematic review of empirical studies of agile software development up to and including 2005 was conducted. The search strategy identified 1996 studies, of which 36 were identified as empirical studies. The studies were grouped into four themes: introduction and adoption, human and social factors, perceptions on agile methods, and comparative studies. The review investigates what is currently known about the benefits and limitations of, and the strength of evidence for, agile methods. Implications for research and practice are presented. The main implication for research is a need for more and better empirical studies of agile software development within a common research agenda. For the industrial readership, the review provides a map of findings, according to topic, that can be compared for relevance to their own settings and situations.
2,165 citations
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Ludwig Institute for Cancer Research1, State University of Campinas2, University of Iowa3, University of Arizona4, University of New Mexico5, University of Washington6, SINTEF7, Karolinska Institutet8, Indiana University9, Johns Hopkins University School of Medicine10, University of Virginia11, McGill University12, Dartmouth College13, United States Military Academy14
TL;DR: In this paper, a double-blind placebo-controlled phase II study was done to assess the efficacy of a prophylactic quadrivalent vaccine targeting the human papillomavirus (HPV) types associated with 70% of cervical cancers (types 16 and 18) and with 90% of genital warts (types 6 and 11).
Abstract: Summary Background A randomised double-blind placebo-controlled phase II study was done to assess the efficacy of a prophylactic quadrivalent vaccine targeting the human papillomavirus (HPV) types associated with 70% of cervical cancers (types 16 and 18) and with 90% of genital warts (types 6 and 11). Methods 277 young women (mean age 20·2 years [SD 1·7]) were randomly assigned to quadrivalent HPV (20 μg type 6, 40 μg type 11, 40 μg type 16, and 20 μg type 18) L1 virus-like-particle (VLP) vaccine and 275 (mean age 20·0 years [1·7]) to one of two placebo preparations at day 1, month 2, and month 6. For 36 months, participants underwent regular gynaecological examinations, cervicovaginal sampling for HPV DNA, testing for serum antibodies to HPV, and Pap testing. The primary endpoint was the combined incidence of infection with HPV 6, 11, 16, or 18, or cervical or external genital disease (ie, persistent HPV infection, HPV detection at the last recorded visit, cervical intraepithelial neoplasia, cervical cancer, or external genital lesions caused by the HPV types in the vaccine). Main analyses were done per protocol. Findings Combined incidence of persistent infection or disease with HPV 6, 11, 16, or 18 fell by 90% (95% CI 71–97, p Interpretation A vaccine targeting HPV types 6, 11, 16, 18 could substantially reduce the acquisition of infection and clinical disease caused by common HPV types. Published online April 7, 2005 DOI 10.1016/S1470-2045(05)70101-7
1,599 citations
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University of Barcelona1, University of the Basque Country2, Technical University of Denmark3, Malmö University4, University of Copenhagen5, SINTEF6, Aarhus University7, Brown University8, University of Wisconsin-Madison9, University of Warwick10, Carnegie Mellon University11, Purdue University12, Karlsruhe Institute of Technology13, ETH Zurich14, University of Freiburg15
TL;DR: The atomic simulation environment (ASE) provides modules for performing many standard simulation tasks such as structure optimization, molecular dynamics, handling of constraints and performing nudged elastic band calculations.
Abstract: The Atomic Simulation Environment (ASE) is a software package written in the Python programming language with the aim of setting up, steering, and analyzing atomistic simula- tions. In ASE, tasks are fully scripted in Python. The powerful syntax of Python combined with the NumPy array library make it possible to perform very complex simulation tasks. For example, a sequence of calculations may be performed with the use of a simple "for-loop" construction. Calculations of energy, forces, stresses and other quantities are performed through interfaces to many external electronic structure codes or force fields using a uniform interface. On top of this calculator interface, ASE provides modules for performing many standard simulation tasks such as structure optimization, molecular dynamics, handling of constraints and performing nudged elastic band calculations.
1,465 citations
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TL;DR: In this article, the authors summarize the knowledge of the production and properties of charcoal that has been accumulated over the past 38 millenia and summarize the potential of charcoal as a renewable fuel.
Abstract: In this review, we summarize the knowledge of the production and properties of charcoal that has been accumulated over the past 38 millenia. The manipulation of pressure, moisture content, and gas flow enables biomass carbonization with fixed-carbon yields that approachor attainthe theoretical limit after reaction times of a few tens of minutes. Much of the heat needed to carbonize the feed is released by vigorous, exothermic secondary reactions that reduce the formation of unwanted tars by augmenting the charcoal yield in a well-designed carbonizer. As a renewable fuel, charcoal has many attractive features: it contains virtually no sulfur or mercury and is low in nitrogen and ash; it is highly reactive yet easy to store and handle. Carbonized charcoal can be a good adsorbent with a large surface area and a semimetal with an electrical resistivity comparable to that of graphite. Recent advances in knowledge about the production and properties of charcoal presage its expanded use as a renewable fuel, red...
1,272 citations
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TL;DR: The literature related to methanol-to-hydrocarbons (MTHC) technology over the past two decades has been reviewed, covering mainly the MTO and MTG reactions as mentioned in this paper.
Abstract: The literature related to methanol-to-hydrocarbons (MTHC) technology over the past two decades has been reviewed, covering mainly the methanol-to-olefin (MTO) and methanol-to-gasoline (MTG) reactions. The work before around 1990 is briefly addressed, and the interested reader's attention is drawn to review papers published during the late 1980s summarizing the early work related to the methanol-to-hydrocarbons technology. This review focuses mainly on the chemistry and mechanism of those reactions including the catalysts involved and their behavior due to crystal size, pore architecture, acidity and reaction conditions, covering the time since around 1990. In a second review authored by F. Keil, the process related items of methanol-to-hydrocarbons technology will be summarized and discussed in the light of kinetic and reaction technology aspects.
1,180 citations
Authors
Showing all 5101 results
Name | H-index | Papers | Citations |
---|---|---|---|
Liang Wang | 98 | 1718 | 45600 |
Terje Espevik | 85 | 297 | 33089 |
Wei Shyy | 78 | 695 | 28562 |
Patrick Sorgeloos | 77 | 594 | 26522 |
Mark Loeb | 75 | 380 | 22987 |
Thor I. Fossen | 69 | 360 | 22120 |
De Chen | 66 | 409 | 14840 |
Tor Arne Johansen | 64 | 626 | 17495 |
Sigurd Skogestad | 62 | 505 | 23576 |
Anders Holmen | 61 | 238 | 12112 |
Helmer Fjellvåg | 61 | 614 | 17546 |
Hailong Li | 57 | 419 | 12425 |
Odd Sture Hopperstad | 57 | 331 | 12292 |
Thomas F. Hansen | 56 | 133 | 12561 |
Paul Wassmann | 53 | 143 | 9236 |