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Predicting preterm birth with machine learning methods

Preterm birth is a leading cause for birth complications and neonatal mortality in the world. It remains difficult to predict whether a preterm birth will occur, which hinders the possible use of prevention treatments. This thesis investigates the use of machine learning models in the prediction of spontaneous preterm birth. In addition, possible heterogeneous performance of these models among dif

Community-based Adaptation to Climate Change – A Scoping Review of Success Factors, Challenges & Lessons Learnt

There has been growing recognition that local communities possess adequate knowledge, skills, experience and understandings of vulnerabilities and risks associated with their lives and livelihoods, and that this should be included in climate change adaptation (CCA). As a result, community-based adaptation (CBA) is being increasingly implemented as means to adapt to climate change (CC). However, de

To act or not to act? A study of Commission inaction against breaches of the rule of law: the case of Spain and the non-renewal of the General Council of the Judiciary

In light of the EU’s growing compliance problem and the generalized decline in Commission-led enforcement, this thesis studies the phenomenon of Commission inaction against breaches of EU law, and, specifically, Art. 2 TEU. By focusing on its lack of action against Spain’s non-renewal of the General Council of the Judiciary, a long-standing breach of the rule of law, this thesis aims to shed light

Night-time Vehicle Detection Based on Observable Light Cues Using Deep Learning

This thesis investigates the issue of computer vision-based detection of oncoming cars during night-time, a critical road safety issue for automated high-beam assist. We propose a holistic image classification approach that uses deep learning methods to detect light artifacts from an oncoming car’s headlights before the car is entirely visible. We explore six different model architectures, includi

Predicting the Movement of the S&P 500 Index using Machine Learning

Predicting the stock market has been a longstanding topic of interest in financial research. It is regarded as a highly challenging but important task given the vital role the financial markets play in shaping the global economies. In this thesis, the goal is to predict the movement of the S&P 500 Index using machine learning methods. To this end, we apply two machine learning algorithms, rand

Samhällets arbete mot ungdomsbrottslighet. En kvalitativ studie om det offentliga och det ideella arbetet mot ungdomsbrottslighet

The study focuses on the efforts surrounding youth delinquency from the perspectives of persons working in state and non-profit organizations. The aim is to investigate how the respondents perceive their roles in this endeavor and how these roles differ from each other. This is done to gain an understanding of society's work against youth delinquency. The methods employed in the study include

Informationsgivning vid andelsbaserad gräsrotsfinansiering i privata aktiebolag - En utredning av regleringsbehovet

Andelsbaserad gräsrotsfinansiering i privata aktiebolag saknar för närvarande en reglering som ställer krav på informationsgivning i svensk rätt, då befintlig reglering endast omfattar publika aktiebolag. Då det inte ställs krav på informationsgivning finns det få incitament för det kapitalsökande bolaget och investeringsplattformen att vid gräsrotsfinansiering dela med sig av information som riskEquity crowdfunding in private limited liability companies currently lacks a regulation on information obligations in Swedish law, as the existing regulation only covers public limited liability companies. Since there are no information-sharing requirements among these companies, there are practically no incentives for either the capital-seeking company or the investment platform to share informat

Generering av syntetiska lastprofiler för energiförbrukning med hjälp av statistiska och neurala nätverksmodeller

I Sverige pågår en elektrifiering av samhället, där transporter, industrier och hushåll i allt större utsträckning försöker övergå till el som energibärare. Detta är en central del i att nå våra klimatmål, men ställer samtidigt höga krav på elsystemets kapacitet. För att kunna planera för ett robust och hållbart elnät krävs en förståelse för hur el används idag. I denna rapport ligger fokus på attThis report aims to develop general synthetic load profiles representing electricity consumption in Swe- dish single-family homes. Based on historical hourly consumption data from Lomma and Helsingborg, provided by RISE, three models – SARIMAX, GRU, and Prophet – were trained and evaluated. To enable comparison and future scalability, the data was normalized by each user’s annual consumption. Amon

Blir det en flicka eller en pojke? - En diskursanalytisk undersökning av biopolitik och "normaliserande" medicinska ingrepp på barn med intersexvariationer

Every year children are born with variations of sex characteristics that do not fit in the typical definitions for female or male bodies. Because of sex assignment procedures, intersex children are investigated, diagnosed and in many cases “treated” with surgical and hormonal interventions, sometimes irreversible and given without the individual’s consent. These procedures pinpoints the ambivalent

A usability study of post-quantum algorithms

There is a non-negligible risk that a quantum computer capable of breaking most modern public key encryption will be invented within the next couple of decades. All data that have to stay secret for more than 10-20 years should therefore be encrypted using quantum-resistant algorithms. There are different ways of approaching the problem of quantum security and the currently existing quantum-resist

Stochastic Modelling of Train Delay Time Series in Skåne, Sweden

The purpose of this paper is to provide a foundation for modelling train delays as multivariate time series. A pertinent issue with this kind of analysis is that the individual time series do not follow the Gaussian normal distribution. Since the normal distribution constitutes an assumption of classical time series methods, these cannot be applied blindly to the data. The solution explored by the

The Systematic Risk of Green Bonds

This paper evaluates the profitability of adding green bonds to a portfolio consisting of stocks and conventional bonds. To determine the profitability, ten portfolios with varying weights on green bonds, conventional bonds and stocks, are constructed. The risk-adjusted returns on the portfolios are implemented in time series regressions of several asset pricing models, including the Capital Asset

Modeling of pillow-shaped paperboard packages subjected to compression

This thesis treats compression testing of pillow-shaped paperboard packages. Virtual packages were defined and compression tests, simulated using a commercial software, were compared to physical compression tests of actual packages. The tests were conducted using different package configurations. Initially a single package was tested both physically, obtaining force-displacement data, as well as

Forecast-based Financing: Developing triggers for drought

Forecast-based Financing (FbF) is a rather new concept within the humanitarian world, which enables actors to act before a likely disaster, based on forecasts. In this study, two scoping studies and five interviews with FbF experts were conducted to find out how to develop useful triggers for drought. The study finds that the triggers must be contextualized, as drought differ a lot across the glob

Viktig statlig institution eller "mensmyndighet"? En diskursanalys av debatten om Jämställdhetsmyndigheten

The following thesis discusses a recent debate that occurred in Sweden regarding gender equality. In the beginning of 2018, a new agency was founded - The Swedish Gender Equality Agency. However, less than a year later, the agency was threatened to be shut-down when two right-wing parties proposed a budget where the funding for the agency was retracted. This started an interesting debate in Sweden

Binary classification of HRV signals

HRV är en förkortning av det engelska begreppet ”Heart rate variability” och beräknas med hjälp av data fr˚an ett elektrokardiogram, EKG. Detta mäter elek- triska signaler som skickas ut fr˚an hjärtat. En tydlig sammandragning av hjärtat kallas för puls och det syns tydlig p˚a ett EKG som en ökning i den elektriska signalen. I motsats till pulsen, är det inte själva hjärtslagen som är viktiga när Heart rate variability, commonly abbreviated as HRV, displays the variance between consecutive heartbeats. This variance occurs naturally but can change due to stress and problems with the cardiac system. HRV is therefore widely used for medical research. The goal of this thesis is to correctly classify two HRV signals where one is obtained at a resting state, the warm signal, while the cold signa

Huvudcykelstråk för ett hållbart Lund - Studie av det gula huvudcykelstråket i Lund.

The purpose of the report is to study the yellow cycle route in the city of Lund and investigate the inadequacies that could be found on today's route. The yellow cycle route goes from Dalby in the south to Gunnesbo in the north. The method used to answer the questions of this report is literature study and a technical inventory. The analysis of the studied route is based on Lund’s cycle strat

Ett vitt ansikte - En studie i huruvida hedersrelaterad brottslighet bör särregleras i straffrättslig mening

Världen över finns det idag flickor, kvinnor och pojkar som inte får leva ut sin fulla potential, som inte får njuta av sina mänskliga och grundläggande rättigheter och friheter. Människor som förtrycks, utsätts för våld och i värsta fall även berövas livet. Deras brott är att de vill leva sina liv, såsom de själva vill. Hedersrelaterat våld och förtryck är ett angeläget samhällsproblem som angå

Barnets bästa eller organisationens bästa? : En kvalitativ studie om uppföljningen av elever efter en orosanmälan.

The purpose of the study was to investigate school counselor’s reasoning’s about collaborations with social services regarding children who have been subjects to a report of concern from their schools. Children’s needs for support and help from the school is not limited to merely before a report of concern is made but also after. Therefore, it has been of interest to investigate what is done to en