Filetype
In a world where the problem of energy resources, pollution and all aspects related to these issues becomes more and more dominant, a greater commitment is needed in the search for solutions. The goal of this project is to make a contribution to the research and development of new materials to reduce the environmental impact in some fields. First of all, we tried to synthesize and prepare an isati
The goal of this article is to propose, through the use of GIS software, an interdisciplinary method to suggest new touristic flows after the Covid-19 pandemic. Specifically, the aim is to identify those sites of cultural and landscape interest that are little known but with great artistic, cultural, historical and environmental value that could give new vigour to the tourism sector. In the first
Myths, religious beliefs, and symbols are crucial components of ethnicity. PKK as a nationalist separatist armed organization- intensively uses them to construct a Kurdish identity which is compatible with its ideology as well as its objectives to mobilize Kurds and to galvanize their support. This thesis seeks to describe how PKK –as a militant organization- has instrumentalised Islamic related t
With the evolving technology of mobile electronics and other forms of communication methods, an increasing demand of speech intelligibility is introduced. In a conference room for example, multiple microphones are placed directly in front of the speaker in order to pick up clean speech. However, several challenges still exist. For instance the distance between speaker and microphone will not be fi
The purpose of this thesis is to investigate the impact of exchange rate volatility on aggregate foreign trade. We use annual data from 15 Asian countries over 30 years. The exchange rate volatility is derived primarily based on GARCH models and MASD. This thesis applies both the static fixed-effect panel data model and dynamic GMM model, then compares the obtained results and uses the OLS method
Light dark matter is a hypothesized form of dark matter in the 1 MeV to 1 GeV mass range. The Light Dark Matter eXperiment (LDMX) is an upcoming experiment to test the existence of light dark matter, by colliding an electron beam with a tungsten target and assembling a set of events that potentially indicate the existence of light dark matter. The three main detector components of the LDMX are a s
This thesis studied the recording methodologies of conducting unannounced evacuation drills to enhance the understanding of evacuation behaviours and performance within the Complex Muon Solenoid (CMS) cavern at CERN. The primary objective was to validate the CMS underground evacuation simulation model for planned evacuation and compare various data collection methods. An unannounced evacuation dr
Preeclampsia (PE) occurs in up to 5% of worldwide pregnancies. It is a complex disease characterised by sudden onset hypertension, and it is harmful to the mother as well as the growing baby, accounting for 40% of fetal deaths worldwide. The disease can be divided into early and late-onset PE, defined as diagnosis earlier or later than 34 weeks of gestation. Despite decades of research, the cause
We present a data-driven proof of concept model capable of reproducing expected counterparty credit exposures from market and trade data. The model has its greatest advantages in quick single-contract exposure evaluations that could be used in front office xVA solutions. The data was generated using short rates from the Hull-White One-Factor model. The best performance was obtained from a GRU neur
With the ambition to contribute to a sustainable development, this project started with aim to recycle fiber boards. The idea behind the project is to take lose fibers that come from waste product or simply just worn out fiber boards, and make them into new fiber boards. In order to achieve this, a binder is needed to hold the boards together. The aim of this thesis was to evaluate different binde
The food industry is facing challenges in responding to the climate crisis, and research highlights the potential of using Business Intelligence & Analytics for organizations sustainability efforts. The aim of this study is to holistically map through the affordance lens, what capabilities organizations in the food industry may potentially gain by using BI&A for sustainability. The study i
The purpose of the thesis is to design a new antenna system and to verify its link performance in 5G FR2 mmWave frequency for handheld devices to enable cellular communication. The main objective is to design an antenna primarily at 28GHz and 39GHz to enhance spectrum efficiency, along with improved transmission data rates, enabling new cases like Augmented Reality (AR), Virtual Reality (VR) and
Research conducted on industrial symbiosis often brings up the importance of trust and collaboration related constraints and enablers if inter-organizational efforts are to be pursued. This is also found in literature related specifically to Sweden and its agri-food sector. There are limited examples of collecting empirical evidence on trust in relation to IS and even less so with a focus on SMEs.
Spallation sources such as European Spallation Source (ESS) produces neutrons by bombarding high-energy protons onto the target wheel. To determine the location of the proton beam a Proton Beam Imaging (PBI) system will be installed. The PBI system at ESS relies on the properties of a luminescent coating that is sprayed onto the target wheel and the proton beam window. In this study, luminescent m
There is an extensive expansion of fiber infrastructure for high-speed broadband networks in Sweden, and Landskrona municipality is one of the leading examples. Owing to the superior capabilities of a fiber based network, a number of digital welfare services can be provided directly to residents and companies of the municipality. Social care is an example of a welfare service that can utilize the
Deep learning is a machine learning technique inspired by the biological nervous system. The method has been used more and more over the last decades. Within this thesis, convolutional neural networks (CNN:s) are used for Gleason classification of prostate cancer in histopathological images. The data that has been used consists of digitalized microscopic images of prostate biopsies stained with ha
Flow cytometry is a versatile tool for monitoring a microbial population at a single-cell level. Multiple parameters can be monitored based on the users’ requirements through the utilization of different dyes, biosensors etc., and the use of FCM for on-line measurements during fed-batch cultivations has the potential to be used for precise process control. This project consisted of the development
This study assesses the impacts of the floods in early 2011 in the Northern Cape Province in South Africa and focuses especially on the small town Keimoes located on the major Orange River. During this period 33 municipalities in 7 out of the country’s 8 provinces were declared as disaster areas due to widespread flooding. In Keimoes and the Northern Cape Province the flood impacts were widespread
This thesis is based on the two months I spent in Bolivia doing applied cultural analysis for a nongovernmental organization (ECAM) that works for women empowerment and gender equality. My intention is to explore the relationship between academia and activism by focusing on the approaches that have been pointed out as counterproductive in the struggle for gender equality. Specifically, the objecti
The thesis explores the possibilities of the Swedish government to assure effective waste collection policies for mercury-containing gas-discharge lamps (GDL) in the context of phase-out of incandescent light bulbs. The study includes review of the waste collection, the waste collection evaluation, policy review and policy analysis. The specific analytical tools applied include Lindhqvist’s policy
