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Modeling and Control of Server-based Systems
When deploying networked computing-based applications, proper resource management of the server-side resources is essential for maintaining quality of service and cost efficiency. The work presented in this thesis is based on six papers, all investigating problems that relate to resource management of server-based systems. Using a queueing system approach we model the performance of a database sys
The bacterial (Vibrio alginolyticus) production of tetrodotoxin in the ribbon worm Lineus longissimus - Just a false positive?
We test previous claims that the bacteria Vibrio alginolyticus produces tetrodotoxin (TTX) when living in symbiosis with the nemertean Lineus longissimus by a setup with bacteria cultivation for TTX production. Toxicity experiments on the shore crab, Carcinus maenas, demonstrated the presence of a paralytic toxin, but evidence from LC-MS and electrophysiological measurements of voltage-gated sodiu
Government Size and Growth: A Rejoinder
In our 2011 survey of the literature in the Journal of Economic Surveys on the effect of government size on economic growth in wealthy countries we find a relatively consistent pattern: An increase in government size by 10 percentage points is associated with a 0.5–1 percentage point lower annual growth rate. This conclusion is questioned by Colombier. In this rejoinder we present a rebuttal of Co
The future of welfare services: How worried should we be about Baumol, Wagner and Ageing?
Spatial multi-objective optimization approach for land use allocation using NSGA-II
Analysis and evaluation of land use patterns are of prime importance for natural resources management. Recent studies on land use allocation have been mainly based on linear programming optimization. Although these methods have the ability to solve multi-objective problems, spatial aspects of optimization are not considered when they are used for land use management. This study applied the non-dom
Seismic human loss estimation for an earthquake disaster using neural network
In Iran, earthquakes cause enormous damage to the people and economy. If there is a proper estimation of human losses in an earthquake disaster, it could be appropriately responded and its impacts and losses will be decreased. Neural networks can be trained to solve problems involving imprecise and highly complex nonlinear data. Based on the different earthquake scenarios and diverse kind of const
Automatic integration of spatial data in viewing services
Geoportals are increasingly used for searching, viewing, and downloading spatial data. This study concerns methods to improve the visual presentation in viewing services. When spatial data in a viewing service are taken from more than one source there are often syntactic, semantic, topological, and geometrical conflicts that prevent maps being fully consistent. In this study we extend a standard v
Colour Vision in Birds : Comparing behavioural thresholds and model predictions
Fåglar har relativt stora ögon för sina kroppsstorlekar och syn är en kostsam sinnesförmåga, speciellt för flygande djur eftersom stora ögon medför extra vikt. Man kan därför anta att fåglar använder synen för viktiga beteenden. De flesta fåglars färgseende är tetrakromatiskt, vilket innebär att fyra typer av fotoreceptorer bidrar till deras färgseende. Det innebär att deras färgseende har en extrBirds use colour vision for many biologically relevant behaviours such as foraging and mate choice. Bird colour vision is mediated by four types of single cones, giving them an extra dimension of colour information compared to trichromatic humans. The cone photoreceptors of birds have coloured oil droplets that are assumed to increase the discriminability of colours in bright light at the cost of
Model of Cholera Forecasting Using Artificial Neural Network in Chabahar City, Iran
Background: Cholera as an endemic disease remains a health issue in Iran despite decrease in incidence. Since forecasting epidemic diseases provides appropriate preventive actions in disease spread, different forecasting methods including artificial neural networks have been developed to study parameters involved in incidence and spread of epidemic diseases such as cholera.Objectives: In this stud
Life is kaif! Om samhälle och utanförskap hos schizorealister, pipel och deras tusovki i sovjetisk motkultur
Clinical application of Sperm Chromatin Structure Assay in diagnosis and treatment of infertility
The Italian fire safety codes for the analysis of road tunnel evacuations: prescriptive vs performance based design approach
Sviluppo di un database per la simulazione di persone disabili nei modelli computazionali di evacuazione
Effects of human activities on the progression and development of large scale crises
Evacuation modelling for underground nuclear research facilities
Evacuation modelling and Virtual Reality for Fire Safety Engineering
VR-simulator as a design tool
Evacuation messages in road tunnels, emergency exit portals and flashing lights, acoustic systems for evacuation
Way-finding lighting systems for rail tunnel evacuation: A virtual reality experiment with Oculus Rift
An experimental study has been conducted to investigate if a new and simple system, that is, stripes of high-bright dynamic green LED lights installed on the floor, can support people way-finding in smoke-filled railway tunnel evacuations. The impact of way-finding installations on people evacuation (intended as people movement paths and evacuation times) has been studied using Oculus Rift, a head