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Coronavirus disease 2019 (COVID-19) has led to a worldwide pandemic that continues to transform but will not go away. Cardiovascular dysautonomia in postacute sequelae of severe acute respiratory syndrome coronavirus 2 infection has led to persistent symptoms in a large number of patients. Here, we define the condition and its associated symptoms as well as potential mechanisms responsible. We pro

Introduction: Treatment persistence is a proxy for efficacy, safety and patient satisfaction, and a switch in treatment or treatment discontinuation has been associated with increased indirect and direct costs in inflammatory arthritis (IA). Hence, there are both clinical and economic incentives for the identification of factors associated with treatment persistence. Until now, studies have mainly

BACKGROUND: Lactiplantibacillus plantarum HEAL9 and Lacticaseibacillus paracasei 8700:2 positively affect the fecal bacteriome in children with celiac disease autoimmunity after 6 months of supplementation. The aim of the present investigation was to study the effects of Lactiplantibacillus plantarum HEAL9 and Lacticaseibacillus paracasei 8700:2 on the single-cell parasitome, with a primary focus

Background: The #metoo and #akademiuppropet media campaigns brought into stark relief the ongoing issue of workplace sexual harassment. Previous research shows this to be a pernicious and prevalent problem with severe consequences for individuals and organisations. Universities are complex spaces that can be considered as a workplace for students and as a site where boundaries between formal educa

Background: Atopic dermatitis is a chronic inflammatory skin disease and inflammation has been implicated in development of other chronic diseases, but few studies have examined the relationship with dementia. Objectives: This study examines associations of atopic dermatitis (AD) and systemic inflammation in adolescence measured using erythrocyte sedimentation rate (ESR), as well as AD diagnosed i

CONTEXT: Agriculture plays a central role as a feedstock provider for the bioeconomy. However, utilization competing with food production and associated land use change have previously been a matter of debate. Nonetheless, strengthening the productivity of agroecosystems through sustainable intensification can prevent the depletion of natural resources, enhance food security, and facilitate adapta

Background: The number of pregnant women with congenital heart disease (CHD) is rising, and the disease poses increased risks of cardiovascular and obstetric complications during pregnancy, potentially impacting breastfeeding success. This study aimed to investigate breastfeeding in primiparous women with CHD compared to primiparous women without CHD, and to examine potential hindering factors for

This chapter focuses on a specific kind of governance namely sustainability governance. Combatting climate change and social inequalities calls for governance systems specifically directed to corporate sustainability. Today our companies are fiercely working on setting up efficient systems for sustainability governance. In this chapter, the reader will learn what a sustainability governance system

Background: Celiac disease (CD) is an immune-mediated inflammatory disease of the intestine in genetically susceptible individuals caused by loss of tolerance to the storage proteins (gluten) in wheat, rye, and barley. Little is known about CD and associated risk factors in Sub-Saharan African countries including Ethiopia. The main aim of the present thesis was to explore how the incidence of celi

High fidelity gridded temperature datasets are difficult to obtain for areas with sparse coverage of meteorological stations given that sparsity of stations is known to introduce uncertainty in the interpolation of climatic variables generally. Inspired by their potential for optimal results especially for small sample datasets, we assessed and compared the accuracy of interpolation results of Emp

This thesis explores the use of data mining and AI-tailored frameworks for extracting public health evidence from large health datasets. The research presented in this thesis demonstrates the potential of these tools for automating and simplifying the data mining process, and for providing valuable insights into various public health issues.In Paper I, we used data mining and natural language proc