The “Endangered Oddballs” project addresses the pressing issue of biodiversity loss by using sculptures as a medium for raising awareness and funds for endangered species. Using a combination of artistic interpretation and scientific research to create a series of figures that accurately represent lesser- known endangered animals. The research method involves close observation and study of each sp

To engage SMEs in innovation could be important to economic growth in Bolivia, it is challenging to develop and achieve business model innovation due to several factors like inability to establish clear demands for technology, limited access to technological resources, insufficiently educated and trained human resources, and a lack of scientific and technological support. Also, the country's techn

In this thesis, I discuss the nature of responsibility and punishment. The main aim is to present a philosophical account of responsibility and punishment that is open to insights from other disciplines such as evolutionary biology, cognitive science, politics, cultural studies, and so forth.In the first section, which consists of three papers, I examine the relationship between responsibility, li

In what ways have Sweden and other EU countries used the discretion allowed by EU law and the ECHR when regulating asylum?How does the Swedish asylum legislation deviate from the minimum rules, as required by EU law and international law (the ECHR)?

Cellular communication within the brain is imperative for maintaining homeostasis and mounting effective responses to pathological triggers like hypoxia. However, a comprehensive understanding of the precise composition and dynamic release of secreted molecules has remained elusive, confined primarily to investigations using isolated monocultures. To overcome these limitations, we utilized the pot

The fundament of the efficient market hypothesis is that no historical information can be used to predict stock returns. Despite this, so-called quality investing is a popular practice and a strategy that has generated above-average market returns. By analysing Swedish high- and low- quality companies, this study aims to answer the relationship between certain financial metrics and stock returns.

Against the backdrop of increasing global emphasis on environmental, social, and corporate governance (ESG), improving the efficiency of ESG data analysis and the sustainability of its sharing has become particularly important. This study proposes a comprehensive research framework, first demonstrating the advantages of deep models for ESG data analysis, and then discussing the combination of ESG

In this thesis, the relationship between venture capital (VC) investments and startup success in Sweden is analysed. The selected startups have operated between 2010 and 2015, and have been funded by VC investments between 2010-2022. As a subgroup of private equity firms (PE), VCs support startups financially and strategically to expand companies. Logistic and linear regression models have been

This research delves into the burgeoning field of incorporating Environmental, Social, and Governance (ESG) criteria into investment strategies, spurred by a growing interest in sustainability and the demonstrated influence of ESG-related events on stock prices. Sanctify Financial Technologies is at the forefront of quantifying firms’ ESG performance, which plays a pivotal role in this study. Vari

This research paper investigates the effect of the change in Sweden’s carbon reduction policy, using a Difference in differences method with Denmark as a comparative country. This is done in order to further understand the economic consequences of this change and similar changes in carbon reduction policy. This paper also aims to investigate the pricing dynamics of the diesel market in Sweden. By

Studying translations gives us more insight into cultures and languages. Machine Translation is an application area of the field Natural Language Processing (NLP), used to transfer information from one language to another. Creating these tools require a lot of data, including data about the semantic relationships of the texts, and for unspoken languages like Ancient Greek, there does not exist a l

Denna uppsats har genom en analys av estetikern Hans Ruins poesibegrepp poesiens mystik, på samma gång genomfört en processartad estetisk-teologisk metodutveckling av Dorthe Jørgensens erfarenhetsmetafysik in spe, genom att tillfoga den, och samtidigt begreppsutveckla, passagen som en plats för förflyttning och förvandling. Uppsatsen bygger på en estetisk-teologisk teori om det sköna tänkandet soIn this thesis, titled "som förvandlande passage", "as transforming passage", I investigate the Finland-Swedish aesthetician Hans Ruin ́s concept of poetry as "poesiens mystik", "the mysticism of poetry". The essential aim of the thesis is both to reach a deeper analysis and understanding of Ruin ́s concept of poetry and, through this and through adding the

This thesis investigated the prediction accuracy of offshore wind power using machine learning and classical time series methods. We used Support Vector Regression (SVR) with a Radial Basis Function (RBF) kernel along the Autoregressive (AR) model. Time series cross-validation with data from the Lillgrund Wind Farm and hyperparameter tuning were used to enhance the performance of both models. Thro

As interest in plant-based diets continues to grow, there is rising demand for tasty and nutritious alternatives to dairy products like cooking cream. This master's thesis explored creating a vegan cooking cream high in protein by utilizing faba beans (Vicia faba L.). Faba beans are an excellent source of plant protein, containing 26-33 % protein by weight with a favourable amino acid profile.

Continued digitization has seen the banking sector which is positioned as a national critical infrastructure face an ever-growing number of cyber-threats. This, has necessitated the need for proactive measures for detection and prevention, owing to an expanded threat landscape. This thesis proposes an approach centered on leveraging data analysis and Machine Learning (ML) to analyze and predict th

This paper investigates whether increased economic inequality leads to higher household indebtedness, a factor often associated with economic risk and instability. Utilizing data on income and wealth distribution, domestic credit, and variables controlling for credit expansion across 16 OECD countries from 1980 to 2016, a series of panel data regressions were performed. The results negate the posi

This study examines price elasticity of demand for train travel along the Southern Main Line in Sweden, focusing on four specific routes: Malmö-Stockholm, Lund-Stockholm, Malmö-Linköping, and Linköping-Stockholm. Using sales data provided by Snälltåget for a period of 28 days in 2024, the research analyzes how ticket prices influence passenger numbers, applying econometric models such as log-log r

Bakgrund: Varje dag förmedlar aktieanalytiker världen över analyser och rekommendationer. Eftersom analytikerna spenderar sina dagar med att tolka all tillgänglig information på marknaden är det rimligt att anta att dessa personer är de bästa på att värdera bolag. Därmed kan det tänkas vara en bra strategi för den småsparare som inte själv har kunskap, lust eller tid att basera en strategi på deraBackground: Every day, stock analysts convey analyses and recommendations. Since analysts spend their days interpreting all available information on the market, it is reasonable to assume that these people are the best at evaluating corporations. Therefore, for the individual investor who lacks the knowledge; interest or time, basing a strategy on their recommendations might seem like a good appro

Dry reforming of methane (DRM) is a promising method for carbon dioxide utilization and hydrogen production, converting CO2 and CH4 into syngas (H2 and CO) using catalysts. Despite its potential, industrial implementation has yet to prevail due to challenges in loss of activity of the catalyst. Carbon deposition (coking) and catalyst particle agglomeration (sintering) occurring during the DRM reac