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Adult neurogenesis in the mammalian brain, including in humans, occurs throughout life in distinct brain regions. Alterations in adult neurogenesis is a common phenomenon in several different neurodegenerative disorders, which is likely to contribute to the pathophysiology of these disorders. This review summarizes novel concepts related to the interplay between autophagy and microRNAs in control
All-polymer blends are promising materials for organic electronics. Their performance critically depends on the quality of mixing of the electron donor and acceptor polymers and on the local chain organization. We investigated spatially resolved photoluminescence properties of as-prepared and annealed blends of poly[2,3-bis(3-octyloxyphenyl)quinoxaline-5,8-diyl-alt-thiophene-2,5-diyl] (TQ1) and po
We study the class of state-space models and perform maximum likelihood estimation for the model parameters. We consider a stochastic approximation expectation–maximization (SAEM) algorithm to maximize the likelihood function with the novelty of using approximate Bayesian computation (ABC) within SAEM. The task is to provide each iteration of SAEM with a filtered state of the system, and this is a
In this study, steady-state laminar natural convection of Cu and TiO2 nanofluids inside different enclosures is numerically investigated. Natural convection is concerned due to a temperature difference between the hot and cold surfaces. The Boussinesq approximation is used to form the governing equations and the commercial software package ANSYS Fluent version 14.0 is used to numerically solve the
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
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
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
