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A central question in Alzheimer's disease (AD) research is what role β-amyloid peptide (Aβ) plays in synaptic dysfunction. Synaptic activity increases Aβ secretion, potentially inhibiting synapses, but also decreases intraneuronal Aβ, protecting synapses. We now show that levels of secreted Aβ fall with time in culture in neurons of AD-transgenic mice, but not wild-type mice. Moreover, the ability
A detector with high dynamic range designed for combined small-and wide-angle x-ray scattering experiments has been developed. It allows measurements on single events and reactive systems, such as particle formation in flames and evaporation of levitating drops. The detector consists of 26 channels covering a region from 0.5 degrees to 60 degrees and it provides continuous monitoring of the sample
This study evaluated the sample sizes necessary to estimate several soil and vegetation characteristics within 10% confidence intervals with 95% probability in three terra firme tropical rainforest sites. Across all three plots, the most spatially heterogeneous variables were measurements of total standing crop root mass, ground surface litter mass, litter fall, root growth and soil respiration wh
The study focuses on the eco-design of sustainable packaging solutions for plant-based meat analogues, particularly plant-based burger patties. This is in response to the growing need for more sustainable dietary choices which can replace those of animal-based meat. Currently, most of the plant-based meat analog products in the market are packaged like meat products, which in turn are more sensiti
EMC is crucial when it comes to designing modern electronic systems, ensuring their functionality, reliability, and regulatory compliance amidst the ever-expanding electromagnetic landscape. This master's thesis delves into the domain of EMC by investigating the possibility of developing a Python-based proof-of-concept tool. The software tool is designed to analyze frequency spectra acquired f
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 aim of this Master's Thesis was to develop a standard for structural testing of implants to be used in transfemoral osseointegrated prostheses, since there is a lack of such standards for this type of implant. The methods used in this project include a literature study, a review of ISO standards, simulations of gait in a software called OpenSim, and a comparison of the OpenSim results with
The degree project described in this report also acts as a deliverable for a research project. The research project focuses on a new technique for the upgrading of biogas. This new technology uses a sterically hindered amine to absorb carbon dioxide from the biogas to raise its energy value. The amine used for this method is 2-amino-2-methyl-1-propanol or AMP. When absorb-ing carbon dioxide with t
Digitalization is changing the conventional face of business, posing ethical questions with regards to how businesses create, collect, use, and store data as part of their everyday business activities. Moreover, because of the pervasiveness of data technologies and unpredictability of their effects on society at large, the complex network of stakeholders affected by data handling is increasing exp
Chromatography is a separation technique frequently used in the purication of medicinal drugs. In studies and project at the department of chemical engineering at Lund University a large amount of data have been generated through the use of their research software Orbit and their ÄKTA chromatography system. Methods have been developed for visualization of this data but there is currently no good w
The rapid spread of the infectious disease Covid-19 caused inevitable need of hand sanitizing products. The public agencies are recommending frequent handwashing and sanitizing and the current awareness of the importance of hand disinfection of the public will remain assimilated and will most probably become part of the daily hygiene practises. However, a frequent use of alcohol-based hand sanitiz
Few studies have been made on challenges and enablers with implementing Stage-Gate processes in mature organizations. The aim with this thesis, is therefore to fill the gaps in knowledge within implementation of Stage-Gate processes and additionally describe the general challenges and enablers with Stage-Gate processes for R&D and innovation projects. PaperCo, a mature international organizati
Supported by the Design Business Association, the purpose of my research is to explore and explain how organisations are successfully using design as an ingredient within their business mix, in order to provide insights for managers, designers and design-promoting organisations. The research adopted an inductive approach and utilised an interpretive qualitative methodology which fits with a subje
This thesis serves as participatory action research with a case study to investigate and test packaging solutions for last mile delivery of food sold online, specifically via the meal kit subscription box industry. The study is done within the context of the case study subject’s product, production, and logistics’ requirements. Identified materials and packaging systems applicable to the immediate
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
Drought is projected to increase in frequency and intensity and impacts trees with increased water stress and increased mortality rate. Water stresses can cause hydraulic failure-related mortality or carbon starvation due to tree species having different strategies to deal with water stresses. LPJ-GUESS-HYD (Hydraulic implementation of a new plant hydraulics scheme in LPJ-GUESS) was developed to i
