Kampklare jagerflygere utviklet av godt lederskap eller selvgående praksisfellesskap?

Masteroppgave i bedriftsledelse (MBA) - Universitetet i Nordland, 201

Stationary waves and slowly moving features in the night upper clouds of Venus

At the cloud top level of Venus (65-70 km altitude) the atmosphere rotates 60 times faster than the underlying surface, a phenomenon known as superrotation. Whereas on Venus's dayside the cloud top motions are well determined and Venus general circulation models predict a mean zonal flow at the upper clouds similar on both day and nightside, the nightside circulation remains poorly studied except for the polar region. Here we report global measurements of the nightside circulation at the upper cloud level. We tracked individual features in thermal emission images at 3.8 and 5.0 $\mathrm{\mu m}$ obtained between 2006 and 2008 by the Visible and Infrared Thermal Imaging Spectrometer (VIRTIS-M) onboard Venus Express and in 2015 by ground-based measurements with the Medium-Resolution 0.8-5.5 Micron Spectrograph and Imager (SpeX) at the National Aeronautics and Space Administration Infrared Telescope Facility (NASA/IRTF). The zonal motions range from -110 to -60 m s$^{-1}$, consistent with those found for the dayside but with larger dispersion. Slow motions (-50 to -20 m s$^{-1}$) were also found and remain unexplained. In addition, abundant stationary wave patterns with zonal speeds from -10 to +10 m s$^{-1}$ dominate the night upper clouds and concentrate over the regions of higher surface elevation.Comment: 15 pages, 4 figures, 6 supplementary figure

The use of reinforcement learning algorithms to meet the challenges of an artificial pancreas

Blood glucose control, for example, in diabetes mellitus or severe illness, requires strict adherence to a protocol of food, insulin administration and exercise personalized to each patient. An artificial pancreas for automated treatment could boost quality of glucose control and patients' independence. The components required for an artificial pancreas are: i) continuous glucose monitoring (CGM), ii) smart controllers and iii) insulin pumps delivering the optimal amount of insulin. In recent years, medical devices for CGM and insulin administration have undergone rapid progression and are now commercially available. Yet, clinically available devices still require regular patients' or caregivers' attention as they operate in open-loop control with frequent user intervention. Dosage-calculating algorithms are currently being studied in intensive care patients [1] , for short overnight control to supplement conventional insulin delivery [2] , and for short periods where patients rest and follow a prescribed food regime [3] . Fully automated algorithms that can respond to the varying activity levels seen in outpatients, with unpredictable and unreported food intake, and which provide the necessary personalized control for individuals is currently beyond the state-of-the-art. Here, we review and discuss reinforcement learning algorithms, controlling insulin in a closed-loop to provide individual insulin dosing regimens that are reactive to the immediate needs of the patient

Immunization, sensibility, and the ressentiments of finance

Vogl describes how digital economies and current financialization have a common genealogy that hinges on protocol and information. How should we understand the anatomy of power that governs this contemporary configuration? As argued in this review, the notion of ‘immunity’ can help illuminate the techniques of power at work in digital economies, social media, and finance

Significance Tests for Periodogram Peaks

We discuss methods currently in use for determining the significance of peaks in the periodograms of time series. We discuss some general methods for constructing significance tests, false alarm probability functions, and the role played in these by independent random variables and by empirical and theoretical cumulative distribution functions. We also discuss the concept of "independent frequencies" in periodogram analysis. We propose a practical method for estimating the significance of periodogram peaks, applicable to all time series irrespective of the spacing of the data. This method, based on Monte Carlo simulations, produces significance tests that are tailor-made for any given astronomical time series.Comment: 22 pages, 11 Encapsulated Postscript figures, AAS LaTeX v5.2 Submitted to Ap

Europe’s Materialism: Infrastructures and Political Space

Sven Opitz and Ute Tellmann explore energy infrastructure and the construction of a European commons

The other side of the boundary: Productive interactions seen from the policy side

The literatures on productive interactions and related frameworks depict impact processes as collaborative efforts to permeate various boundaries between research and societal stakeholders. However, the impact literature is biased towards looking at these processes from the researcher side. This paper analyses policymakers’ interactions with researchers and the different forms of boundary work that ensue, which contributes to improved understanding of the stakeholder side of interactions. Our point of the departure is the interactions related to Research and development (R&D) units and their networks in the central administration in Norway. Using in-depth interviews with twenty-two civil servants in the field of welfare policy, we show how the combination of competitive and collaborative modes of boundary work makes interactions productive. Because research is a strategic asset in the policy domain, control over knowledge production and autonomy to decide when to follow the evidence (or not) is a central feature of knowledge work in policy organisations.publishedVersio

Linking higher education and the world of work: learning outcomes and intermediary organisations

Higher education institutions are increasingly expected to demonstrate the relevance of the education provided and establish tighter links with the labour market. The introduction of learning outcomes represents one such development. The article examines the extent to which various intermediary organisations are involved in decisions about learning outcomes and the consequences of this regarding the role of learning outcomes and their potential in linking higher education to the world of work. Intermediary organisations are operationalised as professional associations and trade unions. The empirical material includes data from interviews of 14 intermediary organisations with different ties to higher education. The findings show that organisations have distinctly different approaches to their involvement in learning-outcome development as well as different views on the potentials of learning outcomes as a legitimate instrument to increase the relevance of higher education. Instead of creating new links between higher education and the world of work, the processes of introducing learning outcomes reinforce existing collaboration patterns.acceptedVersio