Circular business models are seen by many as an attractive way for companies to develop new business opportunities, while simultaneously addressing growing social and environmental challenges beyond traditional Corporate Social Responsibility (CSR) programmes. The development of such business models requires continuous testing and evaluation, which contrasts with the largely linear and interventio

Tonsillar Fusobacterium necrophorum PCR Ct-values were higher in participants with asymptomatic tonsillar carriage than patients with pharyngeal infections. However, Ct-values were not associated with severity of disease or predictive of development of complications and hence lacked clinical usefulness. The reporting of F. necrophorum Ct-values in clinical samples is not recommended.

BACKGROUND: The nearly neutral theory of molecular evolution predicts that the efficacy of natural selection increases with the effective population size. This prediction has been verified by independent observations in diverse taxa, which show that life-history traits are strongly correlated with measures of the efficacy of selection, such as the dN/dS ratio. Surprisingly, avian taxa are an excep

Theoretical work suggests that sexual conflict should promote the maintenance of genetic diversity by the opposing directions of selection on males and females. If such conflict is pervasive, it could potentially lead to genomic heterogeneity in levels of genetic diversity an idea that so far has not been empirically tested on a genomewide scale. We used large-scale population genomic and transcri

Background: PolyQ diseases are autosomal dominant neurodegenerative disorders caused by the expansion of CAG repeats. While of slow progression, these diseases are ultimately fatal and lack effective therapies. Methods: A high-throughput chemical screen was conducted to identify drugs that lower the toxicity of a protein containing the first exon of Huntington's disease (HD) protein huntingtin (HT

OBJECTIVE: To evaluate whether artificial intelligence (AI) based automatic image analysis utilising convolutional neural networks (CNNs) can be used to evaluate computed tomography urography (CTU) for the presence of urinary bladder cancer (UBC) in patients with macroscopic hematuria. METHODS: Our study included patients who had undergone evaluation for macroscopic hematuria. A CNN-based AI model

In recent years, the expansion of production incentives and evolving global filmmaking trends have intensified the complexities surrounding runaway production, particularly in and out of Scandinavia. This shift calls for a thorough examination of how production incentives are affecting Scandinavian screen industries as well as the broader history of runaway production. In my postdoctoral project,

Since the Barnahus model was first introduced in Iceland in 1998, it has spread to a number of European countries, both within and beyond the Nordic region. This introductory chapter has two main objectives: The first is to describe the further diffusion of the Barnahus model throughout Europe and to exemplify various translations at local levels; the second is to set the framework for the book by

Renin-secreting tumours are rare causes of secondary hypertension and hypokalaemia. They are usually surgically curable, hence proper diagnostic work-up and tumour localisation is essential. In this paper, we present three Swedish patients recently diagnosed with renin secreting tumours, two with reninomas and one with an extrarenal renin-producing tumour, to illustrate diagnostic challenges. We a

Given a conditional expectation P from a C*-algebra B onto a C*-subalgebra A, we observe that induction of ideals via P, together with a map which we call co-induction, forms a Galois connection between the lattices of ideals of A and B. Using properties of this Galois connection, we show that, given a discrete group G and a stabilizer subgroup Gx for the action of G on its Furstenberg boundary, i

Multimorbidity, i.e., two or more non-communicable diseases (NCDs), is an escalating challenge for society. Venous thromboembolism (VTE) is a common cardiovascular disease and it is unknown which multimorbidity clusters associates with VTE. Our aim was to examine the association between different common disease clusters of multimorbidity and VTE. The study is an extended (1997–2015) cross-sectiona

Disasters and crises are increasingly seen as opportunities for transformation of the tourism system at various scales. From a resilience perspective, crises and disasters may act as trigger events for system change, sometimes described as the “disaster-reform hypothesis”. An integrative framework informed by different fields is used to analyse the destination development pathways following the Ka

Bacterial reverse transcriptases (RTs) are a large and diverse enzyme family. AbiA, AbiK and Abi-P2 are abortive infection system (Abi) RTs that mediate defense against bacteriophages. What sets Abi RTs apart from other RT enzymes is their ability to synthesize long DNA products of random sequences in a template- and primer-independent manner. Structures of AbiK and Abi-P2 representatives have rec

Charges and their contribution to protein-protein interactions are essential for the key structural and dynamic properties of monoclonal antibody (mAb) solutions. In fact, they influence the apparent molecular weight, the static structure factor, the collective diffusion coefficient, or the relative viscosity, and their concentration dependence. Further, charges play an important role in the collo

Infective native aneurysms (INA) of the infrapopliteal arteries are rare and have previously been poorly described. This systematic review aims to provide an overview of the literature of this entity. Furthermore, two case reports of our own clinical experience are presented. PubMed, ScienceDirect, Cochrane, Ovid Embase, Ovid MEDLINE, and Web of Science were searched for articles on INAs of the in

The purpose of this thesis was to investigate whether video object detection methods can outperform single-frame object detection methods in the context of maritime navigation. Object detection is a well-explored area within machine learning with many high performing published methods. Video object detection however, where information from previous video frames is considered in order to capture hi