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1. Using data from a 9-year study of the great reed warbler Acrocephalus arundinaceus L. carried out in Sweden, I tested the main assumption of the polygyny threshold model (that there is a cost of polygyny) and the main prediction (that this cost is compensated for). The main question was whether a female that chose a mated male (secondary females) experienced the same fitness as a female that at
This thesis handles the problem with fluid selection in organic Rankine cycles application. The main goal was to write a program that based on user defined variables finds the maximum power output from a range of fluids. The program was programmed in Matlab and is coupled with REFPROP that return the fluids characteristics as enthalpy and entropy etc. The program is preloaded with the fluids foun
Popular science ArRiyadh, the capital city of the Kingdom of Saudi Arabia is one of the fastest growing cities in the world. During the last decade the population of the city has been increased to five million due to heavy migration towards the city. Due to this population pressure, the living conditions in the different neighborhoods of the city are different. The residents in any city are mainly
Spatial compositional data with exact zeros arise in many applicationsbut remain challenging for models that often assume strictly positivecomponents. We develop a Bayesian spatial model that combines theDirichlet Composition Distribution, which accommodates exact zeros throughcomponent-specific zero probabilities, with a Gaussian Markov random field representationof the latent compositional field
The aim with this study is to examine how family law secretaries relate to and practice law in the context of family mediation. Family mediation is a supporting measure provided by the family law office to separted parental couples in conflict concerning the custody, housing situation or the right of access to their mutual child. The study is based on data from interviews performed with family law
A science project as part of a student’s curriculum, which we call student science, might be the answer to two problems for a low-income country like Ethiopia: conventional science can be expensive and many students lack training in practical skills. Earlier studies have been conducted with respect to lay people (citizens or students) conducting (parts of) research (e.g. citizen science), but rare
Landslides often cause significant casualties and economic losses, and therefore landslide susceptibility mapping (LSM) has become increasingly urgent and important. The potential of deep learning (DL) like convolutional neural networks (CNN) based on landslide causative factors has not been fully explored yet. The main target of this study is the investigation of a GIS-based LSM in Zanjan, Iran a
OBJECTIVES: To explore clustering of comorbidities among patients with a new diagnosis of osteoarthritis (OA) and estimate the 10-year mortality risk for each identified cluster.METHODS: This is a population-based cohort study of individuals with first incident diagnosis of OA of the hip, knee, ankle/foot, wrist/hand, or 'unspecified' site between 2006 and 2020, using SIDIAP (a primary care databa
Uppsatsens syfte har varit att kritiskt granska den svenska debatten kring DNA-analys för asylsökande barns rätt till familjeåterförening i Sverige och därmed se ifall principen om barnets bästa, definierat i svenska rättsakter, efterföljs. Genom den vägledande domen från Migrationsöverdomstolen den 18 januari 2012 fastslogs att DNA-analys kan användas för att styrka biologiskt släktskap med föräl
In 1994, a new law called “Lagen om stöd och service till vissa funktionshindrade” or abbreviated as LSS was admitted by the Swedish government, the law was aimed to increase the social rights of people with certain disabilities. The aim of this study was to explore how these rights were understood and implemented by supportive assistants working with children. The two main aspects we looked into
With an ongoing energy crisis in Europe and an ever-evolving political climate where the environmental impacts of industries are regarded as a top priority, the topic of energy efficiency is high on everyone’s agenda. Mathematical optimization of energy consumption requires a model of the problem at hand. In this thesis linear regression is compared with the gradient boosted trees method and a neu
In camera production the image quality is of utter importance. Several tests during the production ensure this high quality. In this thesis the possibility of creating a final test, that classifies the image quality with the help of machine learning, specifically convolutional neural networks, was investigated. The data used was made up of synthetic, simulated images with commonly observed quality
Sweden has expressed a commitment to children’s rights in the last few decades, signing the UN Convention on the Rights of the Child (UNCRC) in 1990 and eventually incorporating it as Swedish law in 2020. With the Covid-19 pandemic coinciding with the convention as law and drastically changing the lives of many, including those of children and youth, what role do children’s rights play during a gl
The self-screening error in the GW approximation is studied by applying correction schemes beyond the random-phase approximation in model and ab inito calculations. Two model systems in the form of Hubbard dimers, with one and two orbitals per site respectively, are considered. Both the self-screening (GW-ss) and self-polarization (GW-sp) correction schemes are compared to ordinary GW calculations
Communication today is not something merely taking place face to face, technology such as the internet and social media channels have opened up for endless interactions taking place in the online world. User generated content in the form of online travel reviews come with many challenges and opportunities for organizations. User generated content has been shown to impact a travelers decision in al
