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Identification of candidate disease genes by integrating Gene Ontologies and protein-interaction networks: case study of primary immunodeficiencies.

Disease gene identification is still a challenge despite modern high-throughput methods. Many diseases are very rare or lethal and thus cannot be investigated with traditional methods. Several in silico methods have been developed but they have some limitations. We introduce a new method that combines information about protein-interaction network properties and Gene Ontology terms. Genes with high

Evaluation of the diagnostic accuracy of an online artificial intelligence application for skin disease diagnosis

Artificial intelligence (AI) algorithms for automated classification of skin diseases are available to the con-sumer market. Studies of their diagnostic accuracy are rare. We assessed the diagnostic accuracy of an open-access AI application (Skin Image Search™) for recognition of skin diseases. Clinical images including tumours, infective and inflammatory skin diseases were collected at the Depart

Spatial Vision in Bombus terrestris.

Bombus terrestris is one of the most commonly used insect models to investigate visually guided behavior and spatial vision in particular. Two fundamental measures of spatial vision are spatial resolution and contrast sensitivity. In this study, we report the threshold of spatial resolution in B. terrestris and characterize the contrast sensitivity function of the bumblebee visual system for a dua

Ledarskapsstil och organisatoriskt engagemang i relation till de anställdas välbefinnande

The aim of this study was to gain knowledge about leadership style and its relation to coworker's wellbeing. Of special interest was to find the best predictor variable of wellbeing. A further aim was to study differences between males and females in organizational commitment and wellbeing. A questionnaire was distributed to 100 employees in Telia, a Swedish telecom company. 62 questionnaires

Utveckling av spårvägsnätet i Norrköping

Tramways are a sustainable and accessible mode for public transport. They promote urban development and contribute to a more attractive city. Light rail, but also public transport as a whole, is an important part of society as it is accessible to everyone and reduces the amount of cars needed. The two tramlines in Norrköping account for two thirds of public transport travel in the city. The purpos

Divisive Politics for Erratic Policy: The effects of party polarization on government response to Covid-19 in EU countries

Party polarization research at the academic level has been limited so far compared to media coverage. Nonetheless, there is increasing academic attention on the effects of polarization on policy intensity. This study aims to analyse the impact party polarization has on the government response carried out in the EU countries during Covid-19. The specialized literature study how political polarizati

Mixed Micelles of Oppositely Charged Diblock Copolymers - a Dynamic and Static Light Scattering Study

Polymerer är naturliga eller syntetiska makromolekyler som är uppbyggda av flera repeterande enheter, monomerer. I blocksampolymerer är de ingående typerna av monomerer fördelade i olika block i polymeren, t.ex. A och B. Blocksampolymerer är ett intressant forskningsområde med möjliga tillämpningar inom bland annat läkemedelstransport, så kallad controlled drug release, d.v.s för kontrollerad frisIn the present work, the formation of complex coacervate micelles and aggregates of the oppositely charged diblock copolymers poly(N-isopropylacrylamide)27-b-poly((3-acrylamidopropyl)trimethylammoniumchloride)15 [PNIPAAM27-b-PAMPTMA15(+)] and poly(N-isopropylacrylamide)27-b-poly(2-acrylamido-2-methyl-1-propanesulfonic sodium)15 [PNIPAAM27-b-PAMPS15(-)] in aqueous solution have been studied at diff

The Effect of Depression on Pattern Separation Task Performance

The aim of this study was to investigate a possible relationship between depression and memory performance, hypothesizing a decrease in performance among participants with depression tendencies. The cognitive memory task of pattern separation was tested with four different levels of difficulty by use of a computerized memory test and the self-rating MADRS-S depression scale was used to assess the

Efficient Estimation of Decaying Sinusoids with Application in NMR Spectroscopy

In this thesis, the Wideband Sparse Exponential Mode Analysis (WSEMA) estimator is introduced. It combines two recently developed techniques, the wideband dictionary and the Sparse Exponential Mode Analysis (SEMA) to make for an efficient estimator. WSEMA estimates the parameters of decaying sinusoids, without a priori-information about the number of modes present in the signal. WSEMA works with a

The role of social capital in resilience against poverty

This thesis captures the effect of social capital measured as social and institutional trust on a reduction of absolute poverty. The indicators of social capital are captured through the construction of a database of subjective well-being measures. Poverty is indicated using the Watt’s index which measures the mean proportionate poverty gap for those living under the extreme poverty line of $1.90

Health and Wealth: Understanding Regional Variations in Health, Income, Healthcare Costs, and Productivity

While studies on the relationship between health, income, healthcare spending and productivity is generally consistent, little attention has been brought to the regional contexts. Meanwhile, a country like Sweden who is generally known for a well-established healthcare system and welfare state, experiences increasing regional disparities. This thesis investigates the relationship between health, i

Image-based anomaly detection using β -Variational Autoencoder for surface vehicle collision avoidance

Unmanned vehicles need robust systems to ensure the safety of the vehicle and its environment. Being able to find and avoid perilous situations is paramount to such a system. In this paper we suggest an unsupervised image-based anomaly detection algorithm using a variational autoencoder and a superpixel segmentation algorithm, which is adapted to the maritime obstacle detection task. The algorithm

Increased Cause-specific Mortality in Patients with Mild and Severe Psoriasis: A Population-based Swedish Register Study

Several studies have shown excess risk for a number of comorbidities in patients with psoriasis compared with the general population, but data on cause-specific mortality in this patient population are limited. The aim of this study was to estimate the associations of psoriasis and 12 specific causes of death and all-cause mortality in patients with mild and severe psoriasis. The study was based o

Right atrial organization and wavefront analysis in atrial fibrillation.

The purpose of this study was to develop techniques to quantify the propagation pattern of the electrical activation during atrial fibrillation (AF) along a one-dimensional catheter. Taking intra-atrial signal organization aspects into account, the atrial activations are detected and combined into wavefronts. Parameters describing wavefront consistency and activation order along the catheter are d