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Chronic obstructive pulmonary disease (COPD) is a progressive lung disease characterized by an accelerated decline in lung function due to narrowing and fibrosis of small airways and irreversible alveolar tissue destruction termed as emphysema. To date, no effective treatments exist which can reverse the damaged state of the affected lungs. Stem cell therapy represents a promising approach for tar
Antimicrobial resistance (AMR) is a growing problem worldwide as more drug-resistant bacteria are identified. However, resistance is comparably rare against antibiotics that target the cytoplasmic membrane. Membrane thickness is an important factor for the mode of action of these antibiotics, and difficult to study. Thus, constructing a biosensor to measure membrane thickness in vivo is of great i
The purpose of this study is to investigate if and to what extent environmental sustainability is a contributing factor in the purchase decision of craft beer among young adults. In addition, the study aims to understand how different purchasing factors are related to each other in the craft beer purchase decision. The purpose is to gain a greater understanding for the industry of small scale prod
In this thesis, the GW approximation (GWA, Green's function G times screened interaction W) and the Hubbard I approximation (HIA) are combined in a non-self-consistent one-shot calculation to determine the electronic structure of a one-dimensional strongly-correlated model. The scheme was chosen to incorporate both screening effects through the GWA and strong on-site correlations through the a
Syfte: Studiens syfte var att bidra med ökad kunskap om narrativ förmåga hos ungdomar i åldrarna 13-17 år. Metod: I studien deltog 25 ungdomar från årskurs 7 upp till andra året på gymnasiet. Information om ungdomarnas ålder, kön, eventuell flerspråkighet, eventuella neuropsykiatriska funktionsnedsättningar (NPF) och vårdnadshavares utbildningsnivå samlades in via en enkät. Deltagarna berättade ti
This paper evaluates the performance of the Long Short-Term Memory (LSTM) Neural Network for forecasting energy production from combined heat and power (CHP) plants in Stuttgart, Germany. The dataset consists of high frequency time series data and exhibits multiple seasonal patterns. A key challenge addressed in this study is the presence of a systematic reporting delay, where the most recent four
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
Insect populations have decreased dramatically the past decades, with one reason being unintentional pressure from pesticides. Insecticides such as neonicotinoids can cause sub-lethal effects in insects, such as altered metabolic regulation, which can be studied using targeted metabolomics. Although commonly studied using High-Performance Liquid Chromatography tandem Mass Spectrometry (HPLC-MS/MS)
History leaves its marks on the life of a city. As urban landscapes continue to expand and evolve, old industrial sites and urban functions are often left behind, fading into the margins of the contemporary city. This thesis seeks to explore how architecture and public space can breathe new life into these forgotten areas, reactivating them as meaningful parts of the city’s present and future.The
Galectins are small, carbohydrate-binding proteins widely distributed among different cells and tissues in the human body. Due to their abundance, these proteins are involved in many processes and diseases. Among the different types of galectins found in the human body, galectin-1 and galectin-3 are the most common, thus the most targeted and studied. Particularly, galectin-3 is the only chimeric
Hirschsprung’s disease is a rare, congenital disease characterized by a lack of nerves in parts of the gastrointestinal tract. The disease is often diagnosed early in a child’s life, as the lack of nerves inhibits the passing of stool. Surgery is required to remove the affected part of the intestine. Today intra-operative biopsies are taken to determine where the diseased part of the intestine end
Drought is one of the most costly disasters worldwide. The complexity of nonlinear relationships between drought variables and drought severity during drought events poses significant challenges for accurate drought monitoring and prediction. Drought research in Morocco has been dominated by linear and conventional statistical methods, such as the pearson correlation. Although some earlier researc
This thesis explores how sustainable entrepreneurs adapt their motivation and identity amid the emotional, moral, and strategic tensions of building purpose driven ventures. While previous research has examined motivation and identity separately, little attention has been paid to their interdependence, particularly in high uncertainty environments where values and viability collide. Integrating Se
This thesis explores the classification of savannah trees using EnMAP hyperspectral and Sentinel-2 multispectral satellite data using a Random Forest classifier. The study aimed to assess if the increase in spectral information from the hyperspectral data gives an increase in classification performance, to find the advantages and limitations to hyperspectral data compared to multispectral data and
Myoelectric prosthetics utilize machine learning(ML) algorithms to translate surface electromyography(sEMG) signal patterns into movement, allowing patients to easily control their prosthesis. While the use of conventional ML algorithms has been effective within these prosthetics, challenges still remain in terms of classification accuracy and computation speed. It was hypothesized that Kolmogorov
Purpose: The purpose of this study is to explore how consumers navigate and justify their consumption habits while striving for a more sustainable identity. The study examines the internal dilemmas that arise when sustainable values confront the realities of identity expression and social influence. Methodology: A qualitative research approach was adopted, in the form of in-depth interviews, invo
