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Background: Sharing of data about variation and the associated phenotypes is a critical need, yet variant information can be arbitrarily complex, making a single standard vocabulary elusive and re-formatting difficult. Complex standards have proven too time-consuming to implement. Results: The GEN2PHEN project addressed these difficulties by developing a comprehensive data model for capturing biom
We derive a zero-range pseudopotential that includes all possible terms up to sixth order in derivatives. Within the Hartree-Fock approximation, it gives the average energy that corresponds to a quasilocal nuclear energy density functional (EDF) built of derivatives of the one-body density matrix up to sixth order. The direct reference of the EDF to the pseudopotential acts as a constraint that di
We have experimented with different SOM-based architectures for bio-inspired self-organizing texture and hardness perception systems. To this end we have developed a microphone based texture sensor and a hardness sensor that measures the compression of the material at a constant pressure. We have implemented and successfully tested both monomodal systems for texture and hardness perception, bimoda
Helsingborg, a coastal city in southern Sweden, initiated a long-term redevelopment project called H+ in 2009, aiming to convert industrial harbor space in the city's south into a new, livable urban neighborhood and city center. The project aims to create an open and ‘tolerant city’ in Helsingborg over the next twenty years. In 2010-2011, H+ used an open-source planning method as a strategy to inc
First predictions for specific case of the particle-hole-core coupling model which takes advantage of symmetries of a triaxial rotor with gamma = 90 degrees are reviewed. Results of the model calculations point towards existence of stable chiral geometry in specific configurations involving high-j orbitals. Next, experimental information on doublet bands built on unique parity, pi(h)11/2(Vh)11/2 i
This paper investigates the model reduction problem for mean square stable discrete time Markov jump linear systems. For this class of systems a balanced truncation algorithm is developed. The reduced order model is suboptimal, however the approximation error, which is captured by means of the stochastic L2 gain, is bounded from above by twice the sum of singular numbers associated to the truncate
Hidden Markov models (HMMs) are probabilistic functions of finite Markov chains, or, put in other words, state space models with finite state space. In this paper, we examine subspace estimation methods for HMMs whose output lies a finite set as well. In particular, we study the geometric structure arising from the nonminimality of the linear state space representation of HMMs, and consistency of
Introduction: Despite the high incidence of appendicitis, the diagnosis is often delayed in children. A delayed diagnosis may lead to perforation and formation of an abscess. The treatment of an appendiceal abscess is still a debatable subject and studies have not agreed on what strategy to use. Some prefer immediate operation, whereas others advocate conservative management with or without interv
A new high-performance robot called the Gantry-Tau robot was developed by ABB Robotics, the Robotics Lab at Lund University and Güdel AG. This robot seemed promising in terms of speed, accuracy, stiffness and bandwidth of the motion control. However, the robot joints were based on the rack-and-pinion principle, which introduced significant backlash into the system. To solve this problem, it was pr
Functional MRI is a method used to map brain functionality, where the blood oxygen level (BOLD) imaging method is frequently used. Stimulation of neurons leads to an increase in energy and oxygen consumption and signal can be detected since oxygen changes the magnetic properties of the blood. In order to measure the signal variation, a fast pulse sequence is required. The purpose of this master th
Changes in the agricultural landscape have caused declines in bumblebee species richness and abundance. Semi-natural grasslands are key habitats for bumblebees in agricultural landscapes, and therefore it is important to understand which habitat characteristics promote species-rich bumblebee assemblages in these habitats. In this study, I investigate the importance of trees within semi-natural gra
This thesis presents the verification and validation testing performed on the evacuation simulation platform WUI-NITY which has the aim of being a simulation tool for the integration of different layers, such as pedestrian, traffic and wildfire with evolving dynamic interactions. The present thesis aims at applying a set of verification tests and validation testing suitable for WUI-NITY with a foc
Wildfires pose a significant safety issue, especially when they interact with urban areas, known as wildland urban interface (WUI) fires. As wildfire numbers are rising and developments near wildlands are increasing, there is an increased need to model all types of evacuation in order to prepare and inform evacuating authorities and evacuees. There is currently no research on the requirements need
En av grundpelarna för att bibehålla de enskildas förtroende för det offentliga är ett fungerande system för ansvarsutkrävande i det fall de offentligt anställda i tjänsten handlat på ett felaktigt sätt. Detta ansvarsutkrävande kan anses vila på tre ben: ett straffrättsligt, ett arbetsrättsligt och ett skadeståndsrättsligt. I detta arbete kommer de två första benen att utforskas på djupet. Genom One of the cornerstones for maintaining confidence in the public sector is a functioning system of accountability in the event that a public employee acts incorrectly within the obligations of his employment. This system of accountability can be said to rest upon three legs: one on criminal law, one on employment law and one on tort law. In this work, the first two legs will be explored in depth.
Speech Emotion Recognition (SER) opens up the possibility to collect opinions from people in channels that have not be conceivable before, such as youtube videos, podcasts or phone calls. SER is becoming more advanced, and the SER models that have been published recently are reaching accuracy-results well beyond state of the arts. However, SER is not a simple task and it is most common that the mo
